Triple
T7176489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BJK |
E167332
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Black Eagles |
E167331
|
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: Black Eagles | Statement: [BJK, nickname, Black Eagles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Eagles Context triple: [BJK, nickname, Black Eagles]
-
A.
Black Eagles
chosen
Black Eagles is the famous nickname of Beşiktaş JK, one of Turkey’s most historic and successful football clubs.
-
B.
Black Eagles
The Black Eagles are the Republic of Korea Air Force’s premier aerobatic display team, renowned for their precision flying and dynamic airshow performances.
-
C.
Purple Eagles
The Purple Eagles are the athletic teams representing Niagara University in intercollegiate sports.
-
D.
Skyhawks
Skyhawks is the nickname for the University of Tennessee at Martin’s athletic teams, representing the school in collegiate sports competitions.
-
E.
Scarlet Hawks
The Scarlet Hawks are the athletic teams representing the Illinois Institute of Technology in intercollegiate sports.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e89022d48190a112c24df79ab62f |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbdf32d48190a2d24914c3529160 |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:49 p.m.