Triple

T6812670
Position Surface form Disambiguated ID Type / Status
Subject Nicholas of Tolentino E156673 entity
Predicate associatedWith P37 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: [Nicholas of Tolentino, associatedWith, Tolentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolentino
Context triple: [Nicholas of Tolentino, associatedWith, 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. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7582b5a0c819085e6b8d07d6ab2f7 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:17 p.m.