Triple

T14768369
Position Surface form Disambiguated ID Type / Status
Subject House of Neufville de Villeroy E347062 entity
Predicate associatedPlace P1481 FINISHED
Object Villeroy E332686 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: Villeroy | Statement: [House of Neufville de Villeroy, associatedPlace, Villeroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villeroy
Context triple: [House of Neufville de Villeroy, associatedPlace, Villeroy]
  • A. Villeroy chosen
    Villeroy is a small French commune located in the Île-de-France region in north-central France.
  • B. Villeret
    Villeret is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • E. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81236f081908063bb4350b7b985 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b41df881908119e183b8299c48 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.