Triple

T19856243
Position Surface form Disambiguated ID Type / Status
Subject Le Mortainais E477138 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Précey
Précey is a small commune in the Manche department of northwestern France, situated within the intercommunal structure of Le Mortainais.
E1496760 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: Précey | Statement: [Le Mortainais, containsAdministrativeTerritorialEntity, Précey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Précey
Context triple: [Le Mortainais, containsAdministrativeTerritorialEntity, Précey]
  • A. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • B. Tournan
    Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
  • C. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • D. Sars-la-Bruyère
    Sars-la-Bruyère is a village in the Walloon region of Belgium that forms one of the constituent sections of the municipality of Frameries in the province of Hainaut.
  • E. Plérin
    Plérin is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its beaches and proximity to the city of Saint-Brieuc.
  • 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: Précey
Triple: [Le Mortainais, containsAdministrativeTerritorialEntity, Précey]
Generated description
Précey is a small commune in the Manche department of northwestern France, situated within the intercommunal structure of Le Mortainais.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Précey
Target entity description: Précey is a small commune in the Manche department of northwestern France, situated within the intercommunal structure of Le Mortainais.
  • A. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • B. Tournan
    Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
  • C. Potigny
    Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
  • D. Sars-la-Bruyère
    Sars-la-Bruyère is a village in the Walloon region of Belgium that forms one of the constituent sections of the municipality of Frameries in the province of Hainaut.
  • E. Plérin
    Plérin is a coastal commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its beaches and proximity to the city of Saint-Brieuc.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586c14fc81908d34785f1088b0a9 completed April 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1dfbebf4819096a54f6232bc075b completed May 17, 2026, 7:58 p.m.
NEDg Description generation batch_6a0a1ef23b6c8190a0194719c34bb971 completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fc13900819098ee66684dfdff95 completed May 17, 2026, 8:06 p.m.
Created at: April 10, 2026, 1:51 p.m.