Triple

T10257721
Position Surface form Disambiguated ID Type / Status
Subject University of Avignon E240515 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: [University of Avignon, department, Vaucluse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaucluse
Context triple: [University of Avignon, department, Vaucluse]
  • A. 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.
  • B. 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.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24de4588190b68fb3daa36dbd7d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74ff21edc8190b8b4a6967510a869 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:31 a.m.