Triple

T18064012
Position Surface form Disambiguated ID Type / Status
Subject Comune di Maser E432250 entity
Predicate officialName P66 FINISHED
Object Comune di Maser 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 Maser | Statement: [Comune di Maser, officialName, Comune di Maser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Maser
Context triple: [Comune di Maser, officialName, Comune di Maser]
  • A. Comune di Maser chosen
    Comune di Maser is a small Italian municipality located in the Veneto region, known for its scenic landscape and historic villas.
  • B. Comune di Massa
    Comune di Massa is the municipal government and administrative body responsible for managing public services, local policies, and civic administration in the city of Massa, Italy.
  • C. Comune di Mura
    Comune di Mura is a small Italian municipality in the Lombardy region, situated in the mountainous area east of Lake Garda.
  • D. Municipality of Magliaso
    The Municipality of Magliaso is a small lakeside community in the Swiss canton of Ticino, situated on the shores of Lake Lugano near the city of Lugano.
  • E. Comune di Marcetelli
    Comune di Marcetelli is a small Italian municipality located in the Lazio region, known for its mountainous landscape and rural character.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce74a0c81908375e3100c7578b8 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.