Triple

T1980361
Position Surface form Disambiguated ID Type / Status
Subject Montparnasse Cemetery E43010 entity
Predicate burialPlaceOf P196 FINISHED
Object André Citroën E64258 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: André Citroën | Statement: [Montparnasse Cemetery, burialPlaceOf, André Citroën]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Citroën
Context triple: [Montparnasse Cemetery, burialPlaceOf, André Citroën]
  • A. André Citroën chosen
    André Citroën was a pioneering French industrialist and engineer best known for founding the Citroën automobile company and revolutionizing mass car production in Europe.
  • B. Armand Peugeot
    Armand Peugeot was a French industrialist and pioneer of the automobile industry who transformed his family’s metalworking business into the Peugeot car manufacturing company.
  • C. Marcel Dassault
    Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
  • D. Charles Laisné
    Charles Laisné was a French architect known for his involvement in the design of Paris’s Sacré-Cœur Basilica.
  • E. August Horch
    August Horch was a pioneering German engineer and automobile entrepreneur who founded both Horch and the company that later became Audi.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032bc30c8190a136a634580571d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:37 p.m.