Triple

T23276085
Position Surface form Disambiguated ID Type / Status
Subject San Donà di Piave E588720 entity
Predicate hasNearbyMunicipality P4647 FINISHED
Object Ceggia 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: Ceggia | Statement: [San Donà di Piave, hasNearbyMunicipality, Ceggia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ceggia
Context triple: [San Donà di Piave, hasNearbyMunicipality, Ceggia]
  • A. Ceggia chosen
    Ceggia is a small town in northeastern Italy known for its traditional Carnival celebrations and its location within the Veneto region.
  • B. Carnide
    Carnide is a civil parish in the municipality of Pombal, Portugal, known for its rural character and traditional Portuguese village atmosphere.
  • C. Carnide
    Carnide is a civil parish and residential neighborhood in northern Lisbon, Portugal, known for its mix of historic village core and modern urban developments.
  • D. Sciarra
    Sciarra is an Italian given name historically associated with the noble Colonna family, notably the medieval nobleman Sciarra Colonna.
  • E. Xerus
    Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
  • 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_69f19577841481909acc17bb565bae5c completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:48 p.m.