Triple

T8411986
Position Surface form Disambiguated ID Type / Status
Subject Sorgues E198645 entity
Predicate department P1467 FINISHED
Object Vaucluse E27382 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: Vaucluse | Statement: [Sorgues, department, Vaucluse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaucluse
Context triple: [Sorgues, department, Vaucluse]
  • A. Vaucluse
    Vaucluse is an affluent harbourside suburb in Sydney, Australia, known for its historic estates, coastal views, and proximity to iconic landmarks on Sydney Harbour.
  • B. Vaucluse chosen
    Vaucluse is a department in southeastern France’s Provence-Alpes-Côte d’Azur region, known for its historic towns, vineyards, and picturesque landscapes including the Luberon and Mont Ventoux.
  • C. Silverwater
    Silverwater is a suburb in western Sydney, Australia, known for its industrial areas, correctional complex, and location along the Parramatta River.
  • D. Mortlake
    Mortlake is a riverside suburb in Sydney, Australia, known for its location on the Parramatta River and mix of residential and light industrial areas.
  • E. Mortlake
    Mortlake is a riverside district in southwest London on the River Thames, known as the traditional finishing point of the annual Oxford–Cambridge Boat Race.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e0341c819080506e696131671e completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d3d9f848190bd425b80aa58a376 completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:05 p.m.