Triple
T37972534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTRGV Vaqueros |
E947327
|
entity |
| Predicate | establishedAsBrand |
P109252
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [UTRGV Vaqueros, establishedAsBrand, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsBrand Context triple: [UTRGV Vaqueros, establishedAsBrand, 2015]
-
A.
brandingStatus
Indicates the current state or condition of an entity’s branding, such as whether its brand identity has been defined, applied, updated, or is pending.
-
B.
formedBrand
chosen
Indicates that an entity created or established a particular brand as a distinct commercial or organizational identity.
-
C.
introducedAsBrandFor
Indicates that one entity was presented or launched to the public specifically as the brand representing another entity.
-
D.
hasBrandRecognitionFor
Indicates that one entity is aware of, recognizes, or can identify the brand of another entity.
-
E.
connectedToBrand
Indicates that one entity has an association or linkage with a particular brand, such as affiliation, representation, or integration.
- F. None of above.
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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:20 p.m.