Triple

T23285685
Position Surface form Disambiguated ID Type / Status
Subject Comune di Volterra E588980 entity
Predicate officialName P66 FINISHED
Object Comune di Volterra 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: Comune di Volterra | Statement: [Comune di Volterra, officialName, Comune di Volterra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Volterra
Context triple: [Comune di Volterra, officialName, Comune di Volterra]
  • A. Comune di Volterra chosen
    Comune di Volterra is the municipal government authority responsible for administering the historic Tuscan hill town of Volterra in central Italy.
  • B. Comune di Fiesole
    The Comune di Fiesole is the municipal government responsible for administering the historic hilltop town of Fiesole near Florence in Tuscany, Italy.
  • C. Comune di San Gimignano
    Comune di San Gimignano is the municipal government responsible for administering the historic Tuscan town of San Gimignano in Italy.
  • D. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • E. Comune di Viterbo
    Comune di Viterbo is the municipal government and administrative jurisdiction of the historic city of Viterbo in the Lazio region of central Italy.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964600888190b40ecbefdc8aec64 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.