Triple

T14410685
Position Surface form Disambiguated ID Type / Status
Subject Doctor Chassaigne E357314 entity
Predicate appearsInSeries P26455 FINISHED
Object Les Trois Villes E357311 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: Les Trois Villes | Statement: [Doctor Chassaigne, appearsInSeries, Les Trois Villes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Trois Villes
Context triple: [Doctor Chassaigne, appearsInSeries, Les Trois Villes]
  • A. Les Trois Villes chosen
    Les Trois Villes is a trilogy of novels by Émile Zola that explores social, political, and religious themes through the stories of three French cities: Lourdes, Rome, and Paris.
  • B. La Ville
    La Ville is a symbolist drama by French writer Paul Claudel that explores spiritual and social themes through a visionary portrayal of modern urban life.
  • C. Le Trait
    Le Trait is a commune in the Seine-Maritime department of northern France, situated along the Seine River within the Normandy region.
  • D. Pas de la Ville
    Pas de la Ville is a high mountain pass in the Vercors Massif of southeastern France, commonly used as a hiking route to reach the summit of Grand Veymont.
  • E. Le Ventre de Paris
    Le Ventre de Paris is a naturalist novel by Émile Zola that vividly portrays life around Paris’s central market, Les Halles, while exploring themes of social conflict, hunger, and abundance.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c9b3448190aec1608836a5e913 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6485d4c48190ac67fd43834aa803 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:17 a.m.