Triple

T14723509
Position Surface form Disambiguated ID Type / Status
Subject Orne E345874 entity
Predicate hasSubprefecture P9697 FINISHED
Object Mortagne-au-Perche E511653 NE FINISHED

How this triple was built (2 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: Mortagne-au-Perche | Statement: [Orne, hasSubprefecture, Mortagne-au-Perche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortagne-au-Perche
Context triple: [Orne, hasSubprefecture, Mortagne-au-Perche]
  • A. Mortagne-au-Perche chosen
    Mortagne-au-Perche is a historic market town in northwestern France known as the traditional capital of the Perche region.
  • B. Mortagne-sur-Sèvre
    Mortagne-sur-Sèvre is a commune in western France’s Vendée department, known for its scenic setting along the Sèvre Nantaise river and its historical heritage.
  • C. Bellême
    Bellême is a historic town in northwestern France’s Normandy region, known for its medieval architecture and picturesque setting on the edge of the Perche forest.
  • D. Châteaurenault
    Châteaurenault was a notable 17th-century French naval officer and admiral who played a key role in several major maritime conflicts of his time.
  • E. Coutances
    Coutances is a historic town in northwestern France known for its Gothic cathedral and role as an administrative and cultural center in the Manche department of Normandy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.