Triple

T7584592
Position Surface form Disambiguated ID Type / Status
Subject Var department E179574 entity
Predicate contains P35 FINISHED
Object Bandol E401920 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: Bandol | Statement: [Var department, contains, Bandol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandol
Context triple: [Var department, contains, Bandol]
  • A. Bandol chosen
    Bandol is a renowned coastal town and wine appellation in southeastern France, famous for its robust Mourvèdre-based rosé and red wines.
  • B. Bayona
    Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
  • C. Bordeira
    Bordeira is a civil parish in the municipality of Aljezur in Portugal’s Algarve region, known for its rugged Atlantic coastline and scenic beaches.
  • D. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • E. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861812e08819097fd14fe2b8fee13 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.