Triple

T11013974
Position Surface form Disambiguated ID Type / Status
Subject Lac du Der-Chantecoq E260314 entity
Predicate floodedSettlement P34423 FINISHED
Object Chantecoq E900112 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: Chantecoq | Statement: [Lac du Der-Chantecoq, floodedSettlement, Chantecoq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chantecoq
Context triple: [Lac du Der-Chantecoq, floodedSettlement, Chantecoq]
  • A. Chantecoq chosen
    Chantecoq is a former village in northeastern France that was submerged during the creation of the Lac du Der-Chantecoq reservoir.
  • B. Estcourt
    Estcourt is a town in the KwaZulu-Natal province of South Africa, historically significant as a colonial settlement and regional agricultural and transport hub.
  • C. Petit Château
    Petit Château is the lavish French Renaissance–style mansion built for William K. Vanderbilt on New York City’s Fifth Avenue during the Gilded Age.
  • D. Petit Château
    Petit Château is the smaller historic residence within the Château de Chantilly estate, known for its elegant architecture and role in housing part of the château’s art and collections.
  • E. Taverny
    Taverny is a suburban commune in the northwestern outskirts of Paris, located in the Val-d'Oise department in northern France.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a49f648190a5144625d09dec6f completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a98725808190903639866a3e745f completed April 18, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:25 p.m.