Triple

T17794758
Position Surface form Disambiguated ID Type / Status
Subject Paul Strand E444260 entity
Predicate placeOfDeath P21 FINISHED
Object Orgeval 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: Orgeval | Statement: [Paul Strand, placeOfDeath, Orgeval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orgeval
Context triple: [Paul Strand, placeOfDeath, Orgeval]
  • A. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • B. Orgeval chosen
    Orgeval is a commune in the Yvelines department of north-central France, known for its residential character and proximity to the Paris metropolitan area.
  • C. Tiffauges
    Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
  • D. Chédigny
    Chédigny is a small French village in the Indre Valley, renowned for its picturesque streets lined with thousands of roses and its designation as a "Remarkable Garden."
  • E. Miromesnil
    Miromesnil is a Paris Métro station in the 8th arrondissement, serving as an interchange between lines 9 and 13 near the Élysée Palace.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48799f9608190bc97264c849278a0 completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:13 a.m.