Triple

T18579918
Position Surface form Disambiguated ID Type / Status
Subject Avion E454082 entity
Predicate nearbyCommune P3883 FINISHED
Object Méricourt
Méricourt is a commune in the Pas-de-Calais department in northern France, situated in the former coal-mining region near the city of Lens.
E1353601 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: Méricourt | Statement: [Avion, nearbyCommune, Méricourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Méricourt
Context triple: [Avion, nearbyCommune, Méricourt]
  • A. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • B. Maurecourt
    Maurecourt is a small suburban commune in the Yvelines department of north-central France, located in the western outskirts of the Paris metropolitan area.
  • C. Levécourt
    Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
  • D. Bessancourt
    Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
  • E. Rachecourt
    Rachecourt is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • 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: Méricourt
Triple: [Avion, nearbyCommune, Méricourt]
Generated description
Méricourt is a commune in the Pas-de-Calais department in northern France, situated in the former coal-mining region near the city of Lens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Méricourt
Target entity description: Méricourt is a commune in the Pas-de-Calais department in northern France, situated in the former coal-mining region near the city of Lens.
  • A. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • B. Maurecourt
    Maurecourt is a small suburban commune in the Yvelines department of north-central France, located in the western outskirts of the Paris metropolitan area.
  • C. Levécourt
    Levécourt is a small French village historically notable as the birthplace of the renowned 17th-century bellfounder Pieter Hemony.
  • D. Bessancourt
    Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
  • E. Rachecourt
    Rachecourt is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543cf33288190bc2cd6b7befde944 completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05b43d9f488190bbe1025ea922672f completed May 14, 2026, 11:38 a.m.
NEDg Description generation batch_6a05b5cbfec88190b0d3119812cbd90f completed May 14, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a05b6227a808190b8567ce852d68944 completed May 14, 2026, 11:46 a.m.
Created at: April 10, 2026, 11:43 a.m.