Triple

T7142145
Position Surface form Disambiguated ID Type / Status
Subject Pieter Hemony E166470 entity
Predicate placeOfBirth P1 FINISHED
Object Levécourt
Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
 E674384 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: Levécourt | Statement: [Pieter Hemony, placeOfBirth, Levécourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Levécourt
Context triple: [Pieter Hemony, placeOfBirth, Levécourt]
  • A. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • B. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • C. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • D. Courtedoux
    Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. Eygalières
    Eygalières is a picturesque Provençal village in southern France, known for its stone houses, historic charm, and scenic setting amid the Alpilles hills.
  • 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: Levécourt
Triple: [Pieter Hemony, placeOfBirth, Levécourt]
Generated description
Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Levécourt
Target entity description: Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
  • A. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • B. Libercourt
    Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
  • C. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • D. Courtedoux
    Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
  • E. Eygalières
    Eygalières is a picturesque Provençal village in southern France, known for its stone houses, historic charm, and scenic setting amid the Alpilles hills.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e779ace48190be9c33750e60a79e completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861296e5c8190aa2a189e71963de9 completed March 28, 2026, 11:15 p.m.
NEDg Description generation batch_69c862466fd481908ea5772e76a88d95 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862cae0448190859a07db338e1de7 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 2:45 p.m.