Triple
T1941716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of New Mexico |
E41568
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Lobo |
E31063
|
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: Lobo | Statement: [University of New Mexico, mascot, Lobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lobo Context triple: [University of New Mexico, mascot, Lobo]
-
A.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
B.
Lobos
chosen
Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
-
C.
Lobos
Lobos is the team nickname associated with pitcher Hunter Greene’s baseball team.
-
D.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
E.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2fc98e881909a539c0ebf842d8b |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3fa84e48190bac4d96aa3c3ec39 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:36 p.m.