Triple

T13049542
Position Surface form Disambiguated ID Type / Status
Subject Province of Macerata E327414 entity
Predicate contains P35 FINISHED
Object Tolentino E629136 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: Tolentino | Statement: [Province of Macerata, contains, Tolentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolentino
Context triple: [Province of Macerata, contains, Tolentino]
  • A. Tolentino chosen
    Tolentino is a historic town in Italy’s Marche region, known for its religious heritage and association with Saint Nicholas of Tolentino.
  • B. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • C. Monteveglio
    Monteveglio is a small historic town in the Emilia-Romagna region of northern Italy, known for its medieval architecture and surrounding hilly countryside.
  • D. Guastalla
    Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
  • E. Giussano
    Giussano is a town in the Lombardy region of northern Italy, known for its industrial activity and proximity to other municipalities in the Brianza area.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 8:57 p.m.