Triple
T291291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12th Man |
E5999
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | College Station, Texas |
E15336
|
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: College Station, Texas | Statement: [12th Man, locatedIn, College Station, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College Station, Texas Context triple: [12th Man, locatedIn, College Station, Texas]
-
A.
College Station, Texas
chosen
College Station, Texas is a central Texas city best known as the home of Texas A&M University and its large student-centered community.
-
B.
University Park, Texas
University Park, Texas is an affluent suburban city in the Dallas–Fort Worth area best known as the home of Southern Methodist University.
-
C.
Baylor University
Baylor University is a private Christian research university in Waco, Texas, known for its strong academic programs and prominent athletics in the Big 12 Conference.
-
D.
Duncanville
Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
-
E.
Texas A&M University
Texas A&M University is a major public research university in College Station, Texas, known for its strong programs in agriculture, engineering, and the sciences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4f78bc81909a64fd6aaec3b504 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3eca25d9081909fe6d2ed2cda16d9 |
completed | March 1, 2026, 7:37 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.