Triple

T16420653
Position Surface form Disambiguated ID Type / Status
Subject Bertone E398808 entity
Predicate headquartersLocation P62 FINISHED
Object Grugliasco E828728 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: Grugliasco | Statement: [Bertone, headquartersLocation, Grugliasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grugliasco
Context triple: [Bertone, headquartersLocation, Grugliasco]
  • A. Grugliasco chosen
    Grugliasco is a municipality in the Metropolitan City of Turin in the Piedmont region of northwestern Italy.
  • B. Ornavasso
    Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
  • C. Barzio
    Barzio is a small mountain town in northern Italy’s Lombardy region, known as a gateway to the Valsassina area and nearby ski resorts.
  • D. Lomazzo
    Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
  • E. Cortabbio
    Cortabbio is a small locality or hamlet that forms part of the municipality of Esino Lario in northern Italy.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f735b08190aec8331f54817462 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457f60c081908f4e46993780ac09 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.