Triple

T7584694
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Draguignan E179576 entity
Predicate contains P35 FINISHED
Object Villecroze
Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
E689032 NE FINISHED

How this triple was built (4 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: Villecroze | Statement: [arrondissement of Draguignan, contains, Villecroze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villecroze
Context triple: [arrondissement of Draguignan, contains, Villecroze]
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • D. Maringe
    Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
  • E. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Villecroze
Triple: [arrondissement of Draguignan, contains, Villecroze]
Generated description
Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Villecroze
Target entity description: Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Cugny
    Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
  • D. Maringe
    Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
  • E. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • F. None of above. chosen

Provenance (5 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eefc58f08190b6d57608a2a296c8 completed March 29, 2026, 9:21 a.m.
NEDg Description generation batch_69c8efec66d08190a6363b563c0c32cd completed March 29, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69c8f0426d84819088b319f24c626cb3 completed March 29, 2026, 9:26 a.m.
Created at: March 27, 2026, 3:52 p.m.