Triple

T18555529
Position Surface form Disambiguated ID Type / Status
Subject Arausio E453492 entity
Predicate seeAlso P37 FINISHED
Object Orange, Vaucluse 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: Orange, Vaucluse | Statement: [Arausio, seeAlso, Orange, Vaucluse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange, Vaucluse
Context triple: [Arausio, seeAlso, Orange, Vaucluse]
  • A. canton of Orange
    The canton of Orange is an administrative division in southeastern France centered around the historic city of Orange in the Vaucluse department.
  • B. Orange (France) chosen
    Orange is a historic town in southeastern France’s Vaucluse department, renowned for its well-preserved Roman theatre and triumphal arch, both UNESCO World Heritage Sites.
  • C. Orry
    Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
  • D. Oullins
    Oullins is a suburban commune in eastern France located just southwest of Lyon in the Rhône department.
  • E. Chevroux
    Chevroux is a small Swiss municipality located on the southern shore of Lake Neuchâtel in the canton of Vaud.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53806046481908efbbe6909b2c68b completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.