Triple
T20709431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambre valley region |
E508993
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Fosses-la-Ville |
—
|
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: Fosses-la-Ville | Statement: [Sambre valley region, contains, Fosses-la-Ville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fosses-la-Ville Context triple: [Sambre valley region, contains, Fosses-la-Ville]
-
A.
Fosses-la-Ville
chosen
Fosses-la-Ville is a historic town and municipality in Wallonia, Belgium, known for its medieval heritage and religious sites.
-
B.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
-
C.
Villers-sur-Lesse
Villers-sur-Lesse is a village in the Walloon region of Belgium, situated within the municipality of Rochefort in the province of Namur.
-
D.
Villers-la-Ville
Villers-la-Ville is a Belgian municipality best known for the ruins of its medieval Cistercian abbey, a major historical and tourist site in Wallonia.
-
E.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1961090819090daf7254f90a176 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:14 p.m.