Triple

T6104150
Position Surface form Disambiguated ID Type / Status
Subject Haute-Saône E136074 entity
Predicate contains P35 FINISHED
Object Héricourt
Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
E583251 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: Héricourt | Statement: [Haute-Saône, contains, Héricourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Héricourt
Context triple: [Haute-Saône, contains, Héricourt]
  • A. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • B. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • C. Aiguillon
    Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
  • D. Gressoney-La-Trinité
    Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
  • E. Montdidier
    Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France 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: Héricourt
Triple: [Haute-Saône, contains, Héricourt]
Generated description
Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Héricourt
Target entity description: Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • A. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • B. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • C. Aiguillon
    Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
  • D. Gressoney-La-Trinité
    Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
  • E. Montdidier
    Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3f8e5481909e85a60aaf319f66 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518d771408190bcff32f692c2b9fd completed March 26, 2026, 11:30 a.m.
NEDg Description generation batch_69c52d745a3081909435f227a4f46317 completed March 26, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_69c59088b4b48190a31435c37d83f287 completed March 26, 2026, 8:01 p.m.
Created at: March 22, 2026, 4:13 p.m.