Triple
T2345614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyle Field |
E45122
|
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: [Kyle Field, city, College Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College Station Context triple: [Kyle Field, 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.
Tarleton
Tarleton is a village in Lancashire, England, situated in a rural area of the West Lancashire Coastal Plain near the River Douglas.
-
C.
Sam Houston State University
Sam Houston State University is a public university in Huntsville, Texas, known for its strong criminal justice, education, and business programs.
-
D.
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.
-
E.
Stephen F. Austin State University
Stephen F. Austin State University is a public university in Nacogdoches, Texas, known for its forestry, education, and business programs and its athletic teams, the Lumberjacks and Ladyjacks.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c7cb9481909405aeb503f804ae |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea88113988190b89abfc01f5bf6f4 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:52 p.m.