Triple

T21350603
Position Surface form Disambiguated ID Type / Status
Subject Doué-en-Anjou E526465 entity
Predicate formedByMergerOf P77 FINISHED
Object Montfort NE NERFINISHED

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: Montfort | Statement: [Doué-en-Anjou, formedByMergerOf, Montfort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montfort
Context triple: [Doué-en-Anjou, formedByMergerOf, Montfort]
  • A. Montfort
    Montfort is a masculine given name of French origin, historically associated with nobility and figures such as colonial administrator Montfort Browne.
  • B. Montfort-sur-Meu chosen
    Montfort-sur-Meu is a small historic town in the Ille-et-Vilaine department of Brittany in northwestern France.
  • C. Mortemer
    Mortemer is a variant form of the given name Mortimer, used as a personal or family name in various historical and cultural contexts.
  • D. Bonville
    Bonville is a small rural locality in New South Wales, Australia, known for its scenic countryside and proximity to the coastal city of Coffs Harbour.
  • E. Montfort Stokes
    Montfort Stokes was an American politician and statesman who served as governor of North Carolina and later as a U.S. senator and federal Indian commissioner in the early 19th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad31087481909d41e9d28286f04d completed April 22, 2026, 11:12 a.m.
Created at: April 16, 2026, 5:04 p.m.