Triple

T14325603
Position Surface form Disambiguated ID Type / Status
Subject Angers – Loire Airport E355206 entity
Predicate locatedNear P294 FINISHED
Object Marcé
Marcé is a small commune in western France’s Maine-et-Loire department, situated near Angers and its regional airport.
E1095918 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: Marcé | Statement: [Angers – Loire Airport, locatedNear, Marcé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcé
Context triple: [Angers – Loire Airport, locatedNear, Marcé]
  • A. Saint-Mard
    Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • B. Marche-les-Dames
    Marche-les-Dames is a village in the Namur province of Belgium, best known as the site where King Albert I died in a mountaineering accident.
  • C. Montdidier
    Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
  • D. La Ferté-Milon
    La Ferté-Milon is a small historic commune in northern France best known as the birthplace of the classical playwright Jean Racine.
  • E. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • 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: Marcé
Triple: [Angers – Loire Airport, locatedNear, Marcé]
Generated description
Marcé is a small commune in western France’s Maine-et-Loire department, situated near Angers and its regional airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marcé
Target entity description: Marcé is a small commune in western France’s Maine-et-Loire department, situated near Angers and its regional airport.
  • A. Saint-Mard
    Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • B. Marche-les-Dames
    Marche-les-Dames is a village in the Namur province of Belgium, best known as the site where King Albert I died in a mountaineering accident.
  • C. Montdidier
    Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
  • D. La Ferté-Milon
    La Ferté-Milon is a small historic commune in northern France best known as the birthplace of the classical playwright Jean Racine.
  • E. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883e6a288190b6c22f630a1eef3c completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c394d288190bee966a4e4b3ec58 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:13 a.m.