Triple

T19350670
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Limoges E484007 entity
Predicate contains P35 FINISHED
Object Peyrat-le-Château
Peyrat-le-Château is a rural commune in the Haute-Vienne department of west-central France, known for its scenic lakes and forests in the Limousin region.
E1454945 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: Peyrat-le-Château | Statement: [arrondissement of Limoges, contains, Peyrat-le-Château]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peyrat-le-Château
Context triple: [arrondissement of Limoges, contains, Peyrat-le-Château]
  • A. Bourg-de-Péage
    Bourg-de-Péage is a commune in southeastern France’s Drôme department, known for its location near the city of Romans-sur-Isère and its role within the Valence-Romans urban area.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Bellecourt
    Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
  • E. Pierrelaye
    Pierrelaye is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • 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: Peyrat-le-Château
Triple: [arrondissement of Limoges, contains, Peyrat-le-Château]
Generated description
Peyrat-le-Château is a rural commune in the Haute-Vienne department of west-central France, known for its scenic lakes and forests in the Limousin region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peyrat-le-Château
Target entity description: Peyrat-le-Château is a rural commune in the Haute-Vienne department of west-central France, known for its scenic lakes and forests in the Limousin region.
  • A. Bourg-de-Péage
    Bourg-de-Péage is a commune in southeastern France’s Drôme department, known for its location near the city of Romans-sur-Isère and its role within the Valence-Romans urban area.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Bellecourt
    Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
  • E. Pierrelaye
    Pierrelaye is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190381c081909c747a22422fb02c completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a091380428c8190b0535d3100e3c9a6 completed May 17, 2026, 1:01 a.m.
NEDg Description generation batch_6a0914358a088190848fd658fa884cf1 completed May 17, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0914daf1188190bd8287ef06156c6f completed May 17, 2026, 1:07 a.m.
Created at: April 10, 2026, 1:34 p.m.