Triple
T1332222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pumas UNAM |
E28667
|
entity |
| Predicate | youthAcademyReputation |
P27334
|
FINISHED |
| Object | one of the best in Mexico |
—
|
LITERAL 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: one of the best in Mexico | Statement: [Pumas UNAM, youthAcademyReputation, one of the best in Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthAcademyReputation Context triple: [Pumas UNAM, youthAcademyReputation, one of the best in Mexico]
-
A.
athleticReputation
Indicates the recognized level or quality of someone's performance, skill, or standing in athletic or sports-related activities.
-
B.
academicReputation
Indicates the perceived quality and standing of an entity within the academic community, based on factors like scholarly impact, prestige, and recognition.
-
C.
championshipReputation
Indicates the recognized status or esteem an entity holds based on its history of success or performance in championships or major competitive titles.
-
D.
academyNickname
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
-
E.
choirReputation
Indicates the perceived quality or standing of a choir based on others’ opinions or evaluations.
- F. None of above. chosen
Provenance (4 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e7f1388190a6e4eb65a7997380 |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0b1326081909aa6beec0cfe8d6c |
completed | March 1, 2026, 10:41 p.m. |
Created at: March 1, 2026, 7:55 p.m.