Triple
T22025735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Touret |
E543956
|
entity |
| Predicate | locatedNorthOf |
P305
|
FINISHED |
| Object | Béthune |
—
|
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: Béthune | Statement: [Le Touret, locatedNorthOf, Béthune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béthune Context triple: [Le Touret, locatedNorthOf, Béthune]
-
A.
Béthune
chosen
Béthune is a historic town in northern France known for its medieval belfry and role as a regional center in the former County of Artois.
-
B.
Beaunoir
Beaunoir is a rare white wine grape variety, historically cultivated in parts of Europe and known primarily through its role in old viticultural lineages.
-
C.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
D.
Brécey
Brécey is a commune in the Manche department of northwestern France, known for its rural character and location in the Normandy region.
-
E.
Génicourt
Génicourt is a French commune that forms part of the administrative area of the canton of Vauréal.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cba61c8190a48ec2c1ee1315b0 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.