Triple
T2393695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigres UANL |
E47599
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Tigres |
E262104
|
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: Tigres | Statement: [Tigres UANL, nickname, Tigres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigres Context triple: [Tigres UANL, nickname, Tigres]
-
A.
Tigres
chosen
Tigres is a professional Mexican football club based in San Nicolás de los Garza, Nuevo León, known for its success in Liga MX and passionate fan base.
-
B.
Pumas
The Pumas are Argentina's national rugby union team, known for competing at the highest international level, including in major tournaments like The Rugby Championship and the Rugby World Cup.
-
C.
Pumas
Pumas is a popular Mexican professional football club based in Mexico City, officially known as Club Universidad Nacional.
-
D.
Maroon Tigers
The Maroon Tigers are the athletic teams representing Morehouse College, a historically Black men's liberal arts college in Atlanta, Georgia.
-
E.
Toros
The Toros are the athletic teams representing California State University, Dominguez Hills 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc876d48881909e4d6f5ebe430012 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf3a3a2c8190a29b8ce47e40c3f8 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:57 p.m.