Triple
T20088574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCC |
E496203
|
entity |
| Predicate | airportName |
P4100
|
FINISHED |
| Object | Deadhorse Airport |
—
|
NE NERFINISHED |
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: Deadhorse Airport | Statement: [SCC, airportName, Deadhorse Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deadhorse Airport Context triple: [SCC, airportName, Deadhorse Airport]
-
A.
Deadhorse Airport
chosen
Deadhorse Airport is a remote public airport on Alaska’s North Slope that primarily supports oil field operations and access to the Prudhoe Bay area.
-
B.
Lonesome Pine Airport
Lonesome Pine Airport is a public regional airport serving the Wise, Virginia area and surrounding communities in the Appalachian region.
-
C.
Whitegrass Airport
Whitegrass Airport is the main domestic airport serving the island of Tanna in Vanuatu, providing regional air connections for residents and visitors.
-
D.
Herlong Recreational Airport
Herlong Recreational Airport is a public general aviation airport serving the Jacksonville, Florida area, primarily used for recreational flying and flight training.
-
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 (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655d65a88190a510132f36341b6c |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:17 p.m.