Triple

T7789688
Position Surface form Disambiguated ID Type / Status
Subject Territoire de Belfort E187344 entity
Predicate hasCommune P51099 FINISHED
Object Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
E693584 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: Beaucourt | Statement: [Territoire de Belfort, hasCommune, Beaucourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaucourt
Context triple: [Territoire de Belfort, hasCommune, Beaucourt]
  • A. Levécourt
    Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
  • B. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • C. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • D. Pontigny
    Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
  • E. Châtillon
    Châtillon is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and integration into the Greater Paris metropolitan area.
  • 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: Beaucourt
Triple: [Territoire de Belfort, hasCommune, Beaucourt]
Generated description
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beaucourt
Target entity description: Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
  • A. Levécourt
    Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
  • B. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • C. Chauvigny
    Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
  • D. Pontigny
    Pontigny is a French village best known for its historic Cistercian abbey, one of the earliest and largest of the order.
  • E. Châtillon
    Châtillon is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and integration into the Greater Paris metropolitan area.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7ea13f08190a60c5f1863bce816 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf62c8568819090c058b0c55b7865 completed March 30, 2026, 10:16 p.m.
NEDg Description generation batch_69caf820b05481908b405048c077ca2e completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa052d4481908b89f6001aa6ea01 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:25 p.m.