Triple

T14561862
Position Surface form Disambiguated ID Type / Status
Subject Cronenbourg depot E341685 entity
Predicate locatedInDistrict P40 FINISHED
Object Cronenbourg E341680 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: Cronenbourg | Statement: [Cronenbourg depot, locatedInDistrict, Cronenbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cronenbourg
Context triple: [Cronenbourg depot, locatedInDistrict, Cronenbourg]
  • A. Cronenbourg chosen
    Cronenbourg is a district of Strasbourg, France, known as a residential and industrial area that is integrated into the city’s public transport network.
  • B. Cianfrance
    Cianfrance is the surname of American filmmaker Derek Cianfrance, known for directing emotionally intense dramas such as "Blue Valentine" and "The Place Beyond the Pines."
  • C. Rampo Noir
    Rampo Noir is a 2005 Japanese anthology horror film adapting several of mystery writer Edogawa Rampo’s stories into stylized, surreal vignettes.
  • D. de Villeneuve
    de Villeneuve is a French surname most notably associated with Admiral Pierre-Charles Villeneuve, a commander of the French fleet during the Napoleonic Wars.
  • E. Cusset
    Cusset is a residential and commercial district in the eastern part of Villeurbanne, near Lyon in eastern 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b4013881908fddb8b3cf8494de completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.