Triple
T7732313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan, Texas |
E175288
|
entity |
| Predicate | isServedBy |
P1293
|
FINISHED |
| Object | Easterwood Airport |
E134430
|
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: Easterwood Airport | Statement: [Bryan, Texas, isServedBy, Easterwood Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easterwood Airport Context triple: [Bryan, Texas, isServedBy, Easterwood Airport]
-
A.
Easterwood Airport
chosen
Easterwood Airport is a regional airport serving College Station, Texas, and the surrounding Brazos Valley area, providing commercial and general aviation services.
-
B.
Ellis Municipal Airport
Ellis Municipal Airport is a small public-use airfield serving general aviation needs for the community of Ellis in western Kansas.
-
C.
Perry-Foley Airport
Perry-Foley Airport is a public airport serving the city of Perry and surrounding areas in Taylor County, Florida.
-
D.
Buchanan Field Airport
Buchanan Field Airport is a public general aviation airport serving the city of Concord and the surrounding Contra Costa County area in California.
-
E.
Love Field Airport
Love Field Airport is a major public airport in Dallas, Texas, serving as a key hub for domestic flights and corporate aviation.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033863d881909451a4f9675021a3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6b1f7648190a0e2fd82ecb9c8b9 |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:06 p.m.