Triple

T13948640
Position Surface form Disambiguated ID Type / Status
Subject Nettuno E335455 entity
Predicate twinTown P1072 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: [Nettuno, twinTown, Bandol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandol
Context triple: [Nettuno, twinTown, 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. Baulmes
    Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e12171c8190b95746bdd4845def completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce917b7881908e1916fe2c597fe4 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.