Triple
T8454755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aggie Code of Honor |
E199892
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | College Station |
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 | Statement: [Aggie Code of Honor, city, College Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College Station Context triple: [Aggie Code of Honor, city, College Station]
-
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.
North Lake College Station
North Lake College Station is a Dallas Area Rapid Transit (DART) light rail stop serving the North Lake College area in Irving, Texas.
-
C.
Aggieville
Aggieville is a historic entertainment and shopping district in Manhattan, Kansas, known for its bars, restaurants, and proximity to Kansas State University.
-
D.
Prairie View, Texas
Prairie View, Texas is a small city in Waller County best known as the home of Prairie View A&M University and as part of the greater Houston metropolitan region.
-
E.
College Station, Arkansas
College Station, Arkansas is a small census-designated community located in Pulaski County near Little Rock.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48ca9988190b60ebd09a135194d |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1de232508190803fd2dad21e677f |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:10 p.m.