Triple
T12069298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UT Martin Skyhawks women's basketball |
E287379
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Skyhawks |
E612766
|
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: Skyhawks | Statement: [UT Martin Skyhawks women's basketball, nickname, Skyhawks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyhawks Context triple: [UT Martin Skyhawks women's basketball, nickname, Skyhawks]
-
A.
Skyhawks
chosen
Skyhawks is the nickname for the University of Tennessee at Martin’s athletic teams, representing the school in collegiate sports competitions.
-
B.
Skyhawks
The Skyhawks are the athletic teams representing Stonehill College in intercollegiate sports.
-
C.
Black Eagles
Black Eagles is the famous nickname of Beşiktaş JK, one of Turkey’s most historic and successful football clubs.
-
D.
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.
-
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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90457fd488190b311ed69d2aebdf9 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65af0e88190ad32adb9ff76b01b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.