Triple
T2865502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pas-de-Calais |
E63427
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Béthune |
E186103
|
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: Béthune | Statement: [Pas-de-Calais, contains, Béthune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béthune Context triple: [Pas-de-Calais, contains, 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.
Sainte-Mesme
Sainte-Mesme is a small commune in the Île-de-France region of north-central France.
-
C.
Wattrelos
Wattrelos is a commune in northern France near the Belgian border, known historically for its textile industry and cross-border cultural ties.
-
D.
Chaudfontaine
Chaudfontaine is a Belgian municipality in the Walloon region, noted for its mineral water springs and proximity to the city of Liège.
-
E.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb9e64c819087b1a47caeb174d5 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da458ec8190ae07237d7e23b302 |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.