Triple

T29588414
Position Surface form Disambiguated ID Type / Status
Subject Lethierry E754087 entity
Predicate publicationAuthorCountry P6689 FINISHED
Object France 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: France | Statement: [Lethierry, publicationAuthorCountry, France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicationAuthorCountry
Context triple: [Lethierry, publicationAuthorCountry, France]
  • A. publisherCountryOfWork
    Indicates the country where the publisher of a given work is based or operates.
  • B. countryOfPublication
    Indicates the country in which a work was formally published or made publicly available.
  • C. authorNationality chosen
    Indicates the relationship between an author and the country or nationality with which that author is identified.
  • D. citationCountry
    Indicates that one entity cites or references a work, source, or information associated with a particular country.
  • E. countryOfManuscript
    Indicates the country with which a manuscript is associated, typically where it was created, found, or is held.
  • F. None of above.

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_69f0ef836ac88190bd809dc58b5ec907 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fd783fed9c81909e792702636c4f1f completed May 8, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69fd7788e63c81909de22fdafcfe41c0 completed May 8, 2026, 5:41 a.m.
Created at: April 28, 2026, 6:12 p.m.