Triple

T6483631
Position Surface form Disambiguated ID Type / Status
Subject Perugia E146454 entity
Predicate governingBody P46 FINISHED
Object Comune di Perugia E497691 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: Comune di Perugia | Statement: [Perugia, governingBody, Comune di Perugia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Perugia
Context triple: [Perugia, governingBody, Comune di Perugia]
  • A. Comune di Perugia chosen
    Comune di Perugia is the municipal government and administrative jurisdiction of the city of Perugia, the historic capital of Italy’s Umbria region.
  • B. 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.
  • C. Province of Perugia
    The Province of Perugia is an administrative division in the Umbria region of central Italy, known for its historic hill towns, cultural heritage, and scenic landscapes.
  • D. Comune di Parma
    Comune di Parma is the municipal government and administrative body responsible for managing the city of Parma in northern Italy.
  • E. Comune di Arezzo
    Comune di Arezzo is the municipal government and administrative authority responsible for managing the city of Arezzo in Tuscany, 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653afb1148190a8683f24a553f64d completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.