Triple
T7812564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dole |
E180721
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Dole–Jura Airport |
E666512
|
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: Dole–Jura Airport | Statement: [Dole, hasAirport, Dole–Jura Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dole–Jura Airport Context triple: [Dole, hasAirport, Dole–Jura Airport]
-
A.
Dole–Jura Airport
chosen
Dole–Jura Airport is a regional airport in eastern France serving the city of Dole and the surrounding Jura area with commercial and general aviation flights.
-
B.
Mitiga International Airport
Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
-
C.
Supadio International Airport
Supadio International Airport is the main commercial airport serving Pontianak and the surrounding West Kalimantan region on the island of Borneo in Indonesia.
-
D.
Hector International Airport
Hector International Airport is the primary commercial airport serving Fargo and the surrounding region in eastern North Dakota.
-
E.
HEF Airport
HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78e198c81909d4fd227f6b71082 |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a5048a88190874d7ff205151d8a |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:38 p.m.