Triple
T2020603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas–New York |
E44094
|
entity |
| Predicate | collegeSportsContext |
P34549
|
FINISHED |
| Object | football bowl games involving Texas and New York schools |
—
|
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: football bowl games involving Texas and New York schools | Statement: [Texas–New York, collegeSportsContext, football bowl games involving Texas and New York schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeSportsContext Context triple: [Texas–New York, collegeSportsContext, football bowl games involving Texas and New York schools]
-
A.
universitySport
Indicates a relationship where a particular sport is officially associated with, offered, or organized by a university.
-
B.
collegeAthleteIn
Indicates that an individual is an athlete who competes for or represents a particular college or university.
-
C.
NCAASport
Indicates that an entity is a sport that is officially sanctioned or governed by the NCAA (National Collegiate Athletic Association).
-
D.
playedCollegeSport
Indicates that the subject participated in an organized college-level sport for the object institution.
-
E.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8d0bcbc8190bbbb726ecae1c51b |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a389408190a84a54856352f15b |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb83e7888819096dc40275c77daff |
completed | March 7, 2026, 5:31 a.m. |
Created at: March 4, 2026, 7:38 p.m.