Triple
T15824767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatry Air Base |
E383708
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Vatry |
E383709
|
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 | Statement: [Vatry Air Base, nearSettlement, Vatry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vatry Context triple: [Vatry Air Base, nearSettlement, Vatry]
-
A.
Vatry
chosen
Vatry is a small commune in the Marne department of northeastern France, known primarily for hosting the nearby Châlons Vatry Airport.
-
B.
Petit-Val
Petit-Val is a small municipality located in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
C.
Dingy-en-Vuache
Dingy-en-Vuache is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France.
-
D.
Glâne
Glâne is a river in western Switzerland that flows through the canton of Fribourg before joining the Broye River.
-
E.
Vallée de Chaudefour
Vallée de Chaudefour is a protected glacial valley in France’s Massif Central, renowned for its dramatic volcanic landscapes, rich biodiversity, and popular hiking trails.
- 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_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.