Triple
T4304744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Golden Bears women’s track and field |
E99926
|
entity |
| Predicate | universityAbbreviation |
P789
|
FINISHED |
| Object | Cal |
E310291
|
NE FINISHED |
How this triple was built (2 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: Cal | Statement: [California Golden Bears women’s track and field, universityAbbreviation, Cal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal Context triple: [California Golden Bears women’s track and field, universityAbbreviation, Cal]
-
A.
Cal
chosen
Cal is the commonly used short name for the University of California, Berkeley and its associated athletic programs.
-
B.
CAL
CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
-
C.
CAL
CAL was the stock ticker symbol for Continental Airlines, a major U.S. airline that later merged with United Airlines.
-
D.
CA
CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
-
E.
CA
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350b8e1cc819094ce3d6f6c8da767 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c75382848190a4f2141a72e3fb3a |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:09 p.m.