Triple
T14815859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esneux |
E348311
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Neupré |
E905673
|
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: Neupré | Statement: [Esneux, neighboringMunicipality, Neupré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neupré Context triple: [Esneux, neighboringMunicipality, Neupré]
-
A.
Neupré
chosen
Neupré is a municipality in the province of Liège in Wallonia, Belgium.
-
B.
La Neuveville
La Neuveville is a historic Swiss town on the shores of Lake Biel in the canton of Bern, known for its well-preserved medieval old town and wine-growing region.
-
C.
Chautemps
Chautemps is a French surname most notably associated with Camille Chautemps, a prominent Radical politician and three-time Prime Minister of France during the Third Republic.
-
D.
Neuhaus
Neuhaus is a locality within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
E.
Mauprat
Mauprat is a 1837 novel by French writer George Sand that blends romantic adventure with social and psychological themes, often seen as an early feminist and proto–Bildungsroman work.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:49 a.m.