Triple
T3910832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radboud University Nijmegen |
E87316
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RU
RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
|
E398372
|
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: RU | Statement: [Radboud University Nijmegen, abbreviation, RU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RU Context triple: [Radboud University Nijmegen, abbreviation, RU]
-
A.
RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
-
B.
RU
RU is the two-letter ISO 3166 country code for the Russian Federation.
-
C.
RUS
RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
-
D.
RU-KOS
RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
-
E.
Russin
Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
- 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: RU Triple: [Radboud University Nijmegen, abbreviation, RU]
Generated description
RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RU Target entity description: RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
-
A.
RU
RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
-
B.
RU
RU is the two-letter ISO 3166 country code for the Russian Federation.
-
C.
RUS
RUS is the acronym for the Rural Utilities Service, a U.S. government agency that provides funding and support for rural infrastructure such as electricity, water, and telecommunications.
-
D.
RU-KOS
RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
-
E.
Russin
Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed3408f881908c3cffc5dbfe3950 |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb454c48190bf47d080f6cc24f0 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b5206dfd848190ae7aaa9997150934 |
completed | March 14, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b520ce6af481909b7824c2ec221331 |
completed | March 14, 2026, 8:48 a.m. |
Created at: March 9, 2026, 3:22 p.m.