Triple
T19225451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas–Texas A&M men's basketball rivalry |
E480726
|
entity |
| Predicate | firstMeetingApproxYear |
P12964
|
FINISHED |
| Object | 1915 |
—
|
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: 1915 | Statement: [Texas–Texas A&M men's basketball rivalry, firstMeetingApproxYear, 1915]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingApproxYear Context triple: [Texas–Texas A&M men's basketball rivalry, firstMeetingApproxYear, 1915]
-
A.
firstMeetingYear
chosen
Indicates the calendar year in which two entities first met or had their initial encounter.
-
B.
dateOfFirstMeeting
Indicates the specific date on which two or more entities first met or came together.
-
C.
yearOfMeeting
Indicates the specific calendar year in which the meeting between the referenced entities took place.
-
D.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the first time.
-
E.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa97287c8190b85184a512a9c960 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:24 p.m.