Triple
T13856590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linas |
E333080
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object | La Ville-du-Bois |
E333081
|
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: La Ville-du-Bois | Statement: [Linas, nearbyCommune, La Ville-du-Bois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Ville-du-Bois Context triple: [Linas, nearbyCommune, La Ville-du-Bois]
-
A.
La Ville-du-Bois
chosen
La Ville-du-Bois is a commune in the Essonne department in the Île-de-France region of northern France.
-
B.
Le Viviers-du-Lac
Le Viviers-du-Lac is a commune in the Savoie department of southeastern France, situated near Lake Bourget and serving as the location of Chambéry Airport.
-
C.
Le Plan-de-la-Tour
Le Plan-de-la-Tour is a small Provençal village and commune in the Var department of southeastern France, known for its rural charm and proximity to the Gulf of Saint-Tropez.
-
D.
Les Bois
Les Bois is a small municipality and village in the Franches-Montagnes district of the Swiss canton of Jura, known for its rural setting and watchmaking tradition.
-
E.
La Chênaie
La Chênaie is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70a59e8819090b750699993a107 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:14 p.m.