Triple
T9347900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broncos |
E224938
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Broncos |
unclear NED1
|
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: Broncos | Statement: [Broncos, nickname, Broncos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broncos Context triple: [Broncos, nickname, Broncos]
-
A.
Broncos
Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
-
B.
Broncos
The Broncos are the intercollegiate athletic teams that represent Santa Clara University in NCAA sports.
-
C.
Broncos
The Broncos are the athletic teams representing Fayetteville State University in collegiate sports competitions.
-
D.
Broncos
The Broncos are the athletic teams representing Western Michigan University in NCAA sports competitions.
-
E.
Broncos
The Broncos are the athletic teams representing California State Polytechnic University, Pomona in collegiate sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f107f0081908938f4b814eca5fc |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e432106c81908ae080f37bc80f3f |
completed | April 4, 2026, 10:13 a.m. |
Created at: March 30, 2026, 7:41 p.m.