Triple
T11178099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Huy |
E264463
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Villers-le-Bouillet |
E879411
|
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: Villers-le-Bouillet | Statement: [Arrondissement of Huy, hasPart, Villers-le-Bouillet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villers-le-Bouillet Context triple: [Arrondissement of Huy, hasPart, Villers-le-Bouillet]
-
A.
Villers-le-Bouillet
chosen
Villers-le-Bouillet is a municipality in the province of Liège in Wallonia, Belgium.
-
B.
Villers-le-Peuplier
Villers-le-Peuplier is a village in the municipality of Hannut in the province of Liège, Belgium.
-
C.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
-
D.
Montigny-le-Bretonneux
Montigny-le-Bretonneux is a suburban commune in north-central France that forms part of the new town of Saint-Quentin-en-Yvelines, southwest of Paris.
-
E.
Juvancourt
Juvancourt is a small commune in the Aube department in north-central France.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc1ed3d0819089c6885f21350298 |
completed | April 19, 2026, 12:35 p.m. |
Created at: April 8, 2026, 9:29 p.m.