Triple
T6658957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruhr University Bochum |
E151420
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RUB
RUB is a major public research university located in Bochum, Germany, known for its broad range of academic disciplines and strong emphasis on interdisciplinary research.
|
E609283
|
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: RUB | Statement: [Ruhr University Bochum, abbreviation, RUB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RUB Context triple: [Ruhr University Bochum, abbreviation, RUB]
-
A.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
B.
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
-
C.
RYR
RYR is the ICAO airline designator used for Ryanair, a major Irish low-cost carrier operating extensive routes across Europe.
-
D.
rupee
The rupee is a historic and widely used unit of currency in South Asia, originating in the Indian subcontinent and later adopted by various modern nations including India and Pakistan.
-
E.
riyal
The riyal is the official currency used in several Middle Eastern countries, including Qatar and Saudi Arabia.
- 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: RUB Triple: [Ruhr University Bochum, abbreviation, RUB]
Generated description
RUB is a major public research university located in Bochum, Germany, known for its broad range of academic disciplines and strong emphasis on interdisciplinary research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RUB Target entity description: RUB is a major public research university located in Bochum, Germany, known for its broad range of academic disciplines and strong emphasis on interdisciplinary research.
-
A.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
B.
Raha
Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
-
C.
RYR
RYR is the ICAO airline designator used for Ryanair, a major Irish low-cost carrier operating extensive routes across Europe.
-
D.
rupee
The rupee is a historic and widely used unit of currency in South Asia, originating in the Indian subcontinent and later adopted by various modern nations including India and Pakistan.
-
E.
riyal
The riyal is the official currency used in several Middle Eastern countries, including Qatar and Saudi Arabia.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0706514819087270d1c68866e2c |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef04fe608190b34cc53a54318826 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a2a150819091ec6e6d2905abcb |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1344dd4819096c1d3e216320c4d |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:01 p.m.