Triple
T15825468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot Point, Alaska |
E383729
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Pilot Point Airport |
E1182139
|
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: Pilot Point Airport | Statement: [Pilot Point, Alaska, servedBy, Pilot Point Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilot Point Airport Context triple: [Pilot Point, Alaska, servedBy, Pilot Point Airport]
-
A.
Pilot Point Airport
chosen
Pilot Point Airport is a public airport serving the remote community of Pilot Point on the Alaska Peninsula, primarily supporting regional and bush air service.
-
B.
Tipton Airport
Tipton Airport is a public general aviation airport in Maryland that primarily serves local and regional air traffic for the surrounding Howard County area.
-
C.
Burnet Municipal Airport
Burnet Municipal Airport is a public general aviation airport serving the city of Burnet and surrounding areas in Burnet County, Texas.
-
D.
Mount Pleasant Municipal Airport
Mount Pleasant Municipal Airport is a public general-aviation airport serving the city of Mount Pleasant in central Michigan.
-
E.
Oakey Airport
Oakey Airport is a regional airfield in Queensland, Australia, primarily serving general aviation and military training 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e602e5481908baa71c3d9b2008f |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5997a988190b7965e42d283459a |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:49 a.m.