Triple

T19276154
Position Surface form Disambiguated ID Type / Status
Subject Domagnano E482059 entity
Predicate contains P35 FINISHED
Object Domagnano (town) NE NERFINISHED

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: Domagnano (town) | Statement: [Domagnano, contains, Domagnano (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domagnano (town)
Context triple: [Domagnano, contains, Domagnano (town)]
  • A. Domagnano chosen
    Domagnano is one of the nine municipalities (castelli) of San Marino, located in the northeastern part of the country.
  • B. Maltignano
    Maltignano is a small municipality in Italy’s Marche region, known for its rural character and proximity to the city of Ascoli Piceno.
  • C. Solignano
    Solignano is a small municipality in the Province of Parma in Italy’s Emilia-Romagna region, known for its rural landscape and location in the Taro Valley.
  • D. Cossignano
    Cossignano is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic hilltop setting.
  • E. Calizzano
    Calizzano is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and chestnut forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbbdf3481909abb46c71f64106a completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.