Triple

T15004093
Position Surface form Disambiguated ID Type / Status
Subject Tempio Voltiano E377664 entity
Predicate operator P179 FINISHED
Object Comune di Como E1084157 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 Como | Statement: [Tempio Voltiano, operator, Comune di Como]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Como
Context triple: [Tempio Voltiano, operator, Comune di Como]
  • A. Comune di Como chosen
    Comune di Como is the modern Italian municipal administration governing the city of Como in the Lombardy region of northern Italy.
  • B. Comune di Varese
    Comune di Varese is the municipal administrative authority responsible for governing the city of Varese in the Lombardy region of northern Italy.
  • C. Comune di Cernobbio
    Comune di Cernobbio is a picturesque municipality on the shores of Lake Como in Lombardy, northern Italy, known for its historic villas and tourism.
  • D. Municipality of Lecco
    The Municipality of Lecco is the local government authority of the city of Lecco in Lombardy, northern Italy.
  • E. Comune di Lodi
    The Comune di Lodi is the municipal government and administrative authority responsible for managing public services, local regulations, and civic life in the city of Lodi, 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dcbd7c88190ad1a302cd0c6ef28 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:54 a.m.