Triple

T22600716
Position Surface form Disambiguated ID Type / Status
Subject Montaigu-Vendée E574808 entity
Predicate hasSeat P3522 FINISHED
Object Montaigu 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: Montaigu | Statement: [Montaigu-Vendée, hasSeat, Montaigu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montaigu
Context triple: [Montaigu-Vendée, hasSeat, Montaigu]
  • A. Montaigu chosen
    Montaigu is a historic town in western France, known for its medieval heritage and strategic location in the Vendée region.
  • B. seigneur de Montaigu
    Seigneur de Montaigu was a French feudal lordship historically associated with the noble family of Louis Malet de Graville.
  • C. Hippolyte Destailleur
    Hippolyte Destailleur was a 19th-century French architect and interior designer renowned for his historicist restorations and designs of grand châteaux and aristocratic residences.
  • D. Prince Charmont
    Prince Charmont is the charming and kind-hearted royal love interest of Ella in the fantasy novel and film "Ella Enchanted."
  • E. Fluellen
    Fluellen is a loyal and comically pedantic Welsh captain in Shakespeare’s play "Henry V," known for his strict adherence to military discipline and patriotic zeal.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626c6ce08190b991e89b12c67a5a completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.