Triple

T36511919
Position Surface form Disambiguated ID Type / Status
Subject Casarico E899929 entity
Predicate municipalSubdivision P69939 FINISHED
Object Moltrasio 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: Moltrasio | Statement: [Casarico, municipalSubdivision, Moltrasio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalSubdivision
Context triple: [Casarico, municipalSubdivision, Moltrasio]
  • A. citySubdivision
    Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
  • B. municipalCountrySubdivision
    Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
  • C. localSubdivision
    Indicates that one administrative or geographic area is a smaller, constituent part within a larger local jurisdiction or region.
  • D. subdivisionOfJurisdiction chosen
    Indicates that one jurisdiction is a smaller administrative or territorial unit that forms part of a larger jurisdiction.
  • E. governingSubdivision
    Indicates that one administrative or political unit serves as the governing authority over a smaller, subordinate territorial subdivision.
  • F. None of above.

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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:10 p.m.