Triple
T7528098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonham, Texas |
E177947
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Jones Field |
E235907
|
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: Jones Field | Statement: [Bonham, Texas, hasAirport, Jones Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jones Field Context triple: [Bonham, Texas, hasAirport, Jones Field]
-
A.
McNary Field
McNary Field is a public airport serving Salem, Oregon, providing regional air transportation and general aviation services.
-
B.
Eaker Field
chosen
Eaker Field is a regional airport serving the Texoma area along the Texas–Oklahoma border.
-
C.
Hutchinson Field
Hutchinson Field is a large open lawn and event space within Chicago’s Grant Park, often used for concerts, festivals, and public gatherings.
-
D.
Reeves Field
Reeves Field is the primary soccer stadium and athletic facility located on the campus of American University in Washington, D.C.
-
E.
Merrill Field
Merrill Field is a public general aviation airport in Anchorage, Alaska, serving as one of the city's primary airfields for small aircraft operations.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81cc5748190818443c48c9e3114 |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84639c19881909e1736afc01a020d |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:47 p.m.