Triple
T18449734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendlincourt |
E450747
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Courcelles (France) |
—
|
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: Courcelles (France) | Statement: [Vendlincourt, hasNeighboringMunicipality, Courcelles (France)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courcelles (France) Context triple: [Vendlincourt, hasNeighboringMunicipality, Courcelles (France)]
-
A.
Courcelles
Courcelles is a district in Brussels, Belgium, known for being served by the city's metro system.
-
B.
Courcelles
chosen
Courcelles is a municipality in the Walloon region of Belgium, known historically as part of the industrial coal-mining area around Charleroi.
-
C.
Fourchambault, France
Fourchambault, France is a small industrial town in the Nièvre department of central France, historically known for its steelworks and metallurgical industry.
-
D.
Gouvieux, France
Gouvieux, France is a commune in the Oise department in northern France, known for its affluent residential character and association with the Aga Khan IV.
-
E.
Béthune, France
Béthune is a historic town in northern France’s Pas-de-Calais department, known for its belfry, reconstructed town center, and role in both World Wars.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264748dc8190984501af3e4b2036 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.