Triple

T3277138
Position Surface form Disambiguated ID Type / Status
Subject Vérité E68783 entity
Predicate publisher P29 FINISHED
Object Fasquelle E340840 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: Fasquelle | Statement: [Vérité, publisher, Fasquelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fasquelle
Context triple: [Vérité, publisher, Fasquelle]
  • A. Fasquelle chosen
    Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
  • B. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • C. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • D. Yerre
    The Yerre is a river in northern France that flows through the Île-de-France region before joining the Loir.
  • E. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3c764548190ac3c90da3763ac62 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.