Triple
T3709070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSU Main Botanical Garden |
E80962
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object |
Moscow State University campus network
The Moscow State University campus network is the integrated system of facilities, sites, and infrastructure associated with Moscow State University, encompassing its academic buildings, research centers, and affiliated campuses and grounds.
|
E382937
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Moscow State University campus network | Statement: [MSU Main Botanical Garden, isPartOf, Moscow State University campus network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscow State University campus network Context triple: [MSU Main Botanical Garden, isPartOf, Moscow State University campus network]
-
A.
University of Tokyo campus network
The University of Tokyo campus network is the integrated system of campuses, facilities, and infrastructure that together support the university’s teaching, research, and student life across multiple locations.
-
B.
University of Chile regional campus network
The University of Chile regional campus network is a system of decentralized campuses across various regions of Chile that extend the university’s academic, research, and community outreach activities beyond its main Santiago headquarters.
-
C.
Johns Hopkins University campus network
The Johns Hopkins University campus network is the system of interconnected campuses and facilities through which the university operates its academic, research, and administrative activities across multiple locations.
-
D.
Cambridge College campus network
Cambridge College campus network is the multi-campus system through which Cambridge College delivers its academic programs and student services across its various locations.
-
E.
Naukowa i Akademicka Sieć Komputerowa
Naukowa i Akademicka Sieć Komputerowa (NASK) is a Polish research and development organization that operates the country’s academic and scientific computer network and provides key internet services and cybersecurity solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Moscow State University campus network Triple: [MSU Main Botanical Garden, isPartOf, Moscow State University campus network]
Generated description
The Moscow State University campus network is the integrated system of facilities, sites, and infrastructure associated with Moscow State University, encompassing its academic buildings, research centers, and affiliated campuses and grounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moscow State University campus network Target entity description: The Moscow State University campus network is the integrated system of facilities, sites, and infrastructure associated with Moscow State University, encompassing its academic buildings, research centers, and affiliated campuses and grounds.
-
A.
University of Tokyo campus network
The University of Tokyo campus network is the integrated system of campuses, facilities, and infrastructure that together support the university’s teaching, research, and student life across multiple locations.
-
B.
University of Chile regional campus network
The University of Chile regional campus network is a system of decentralized campuses across various regions of Chile that extend the university’s academic, research, and community outreach activities beyond its main Santiago headquarters.
-
C.
Johns Hopkins University campus network
The Johns Hopkins University campus network is the system of interconnected campuses and facilities through which the university operates its academic, research, and administrative activities across multiple locations.
-
D.
Cambridge College campus network
Cambridge College campus network is the multi-campus system through which Cambridge College delivers its academic programs and student services across its various locations.
-
E.
Naukowa i Akademicka Sieć Komputerowa
Naukowa i Akademicka Sieć Komputerowa (NASK) is a Polish research and development organization that operates the country’s academic and scientific computer network and provides key internet services and cybersecurity solutions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc58233788190be3b912a50f61443 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0216bc8190b44d2950b7cb24c3 |
completed | March 14, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69b4d1c2a384819090520b42574d6db5 |
completed | March 14, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d272436081909ace50a69524c672 |
completed | March 14, 2026, 3:13 a.m. |
Created at: March 8, 2026, 3:33 p.m.