Triple
T34843415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas–Pan American Broncs men's basketball |
E1004400
|
entity |
| Predicate | homeVenue |
P105
|
FINISHED |
| Object |
UTPA Fieldhouse
UTPA Fieldhouse is an on-campus multi-purpose arena at the University of Texas–Pan American in Edinburg, Texas, primarily known for hosting the university’s basketball games and other athletic events.
|
E2114714
|
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: UTPA Fieldhouse | Statement: [Texas–Pan American Broncs men's basketball, homeVenue, UTPA Fieldhouse]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UTPA Fieldhouse Triple: [Texas–Pan American Broncs men's basketball, homeVenue, UTPA Fieldhouse]
Generated description
UTPA Fieldhouse is an on-campus multi-purpose arena at the University of Texas–Pan American in Edinburg, Texas, primarily known for hosting the university’s basketball games and other athletic events.
Provenance (5 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7813183f08190937aa3c571e214b7 |
completed | May 3, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37795059748190a95acc20f053ed0b |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a377a2e811c8190acdf3e170abca595 |
completed | June 21, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377ac60cd88190b1ea9540346df1c9 |
completed | June 21, 2026, 5:46 a.m. |
Created at: May 3, 2026, 4 p.m.