Triple

T6818347
Position Surface form Disambiguated ID Type / Status
Subject Dourdan E156828 entity
Predicate historicalRegion P915 FINISHED
Object Hurepoix
Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
 E651957 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: Hurepoix | Statement: [Dourdan, historicalRegion, Hurepoix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hurepoix
Context triple: [Dourdan, historicalRegion, Hurepoix]
  • A. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • B. Escoutoux
    Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • E. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • 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: Hurepoix
Triple: [Dourdan, historicalRegion, Hurepoix]
Generated description
Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hurepoix
Target entity description: Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • A. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • B. Escoutoux
    Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
  • C. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • D. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • E. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d355b52081909f037cec76bdccf6 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d36cc4048190b4ce8beb4c4f7957 completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d44e67848190ac52eca99ef18f28 completed March 28, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4fc837c81909827352be19f64b4 completed March 28, 2026, 1:17 p.m.
Created at: March 27, 2026, 2:17 p.m.