Triple

T18450400
Position Surface form Disambiguated ID Type / Status
Subject canton of Pertuis E450764 entity
Predicate namedAfter P63 FINISHED
Object Pertuis 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: Pertuis | Statement: [canton of Pertuis, namedAfter, Pertuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pertuis
Context triple: [canton of Pertuis, namedAfter, Pertuis]
  • A. Pertuis chosen
    Pertuis is a commune in southeastern France’s Vaucluse department, known as a gateway to the Luberon region and part of the Aix-en-Provence urban area.
  • B. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • C. Bouguenais
    Bouguenais is a suburban commune in western France, located near Nantes and known for hosting Nantes Atlantique Airport.
  • D. Gouin
    Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
  • E. Pontgouin
    Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.