Triple
T15824667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châlons Vatry Airport |
E383706
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Vatry Airport |
E383708
|
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: Vatry Airport | Statement: [Châlons Vatry Airport, alsoKnownAs, Vatry Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vatry Airport Context triple: [Châlons Vatry Airport, alsoKnownAs, Vatry Airport]
-
A.
Nancy-Essey Airport
Nancy-Essey Airport is a regional airport serving the city of Nancy and its surrounding area in northeastern France.
-
B.
Vatry Air Base
chosen
Vatry Air Base is a former French military airfield in the Marne department that has been converted into a civilian cargo-focused airport now known as Châlons Vatry Airport.
-
C.
Valence-Chabeuil Airport
Valence-Chabeuil Airport is a regional airport in southeastern France serving the Valence area and surrounding communes in the Drôme department.
-
D.
Faya-Largeau Airport
Faya-Largeau Airport is a regional airport in northern Chad that serves the town of Faya-Largeau and the surrounding Borkou region.
-
E.
Sion Airport
Sion Airport is a regional airport in the Swiss Alps that serves the town of Sion and nearby ski resorts, handling both civilian and military flights.
- 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_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13392c48190b03cbed9df5a32a6 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.