Triple
T16601817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTSA Roadrunners football team |
E403346
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Roadrunners |
E1027375
|
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: Roadrunners | Statement: [UTSA Roadrunners football team, nickname, Roadrunners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roadrunners Context triple: [UTSA Roadrunners football team, nickname, Roadrunners]
-
A.
Roadrunners
The Roadrunners are the athletic teams representing California State University, Bakersfield in intercollegiate sports.
-
B.
Roadrunners
Roadrunners is the short name used for the Phoenix Roadrunners, a former professional ice hockey team based in Phoenix, Arizona.
-
C.
Roadrunners
chosen
Roadrunners is the nickname for the University of Texas at San Antonio’s athletic teams, which compete in NCAA Division I sports.
-
D.
Roadrunners
Roadrunners is the mascot representing Linn–Benton Community College’s athletic teams.
-
E.
Los Zorros del Desierto
Los Zorros del Desierto is the popular nickname of Chilean football club Cobreloa, alluding to its desert homeland and tenacious playing style.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d764574819081366374ca0c9bea |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.