Triple

T18167797
Position Surface form Disambiguated ID Type / Status
Subject Province of Palermo E434938 entity
Predicate contains P35 FINISHED
Object Villabate 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: Villabate | Statement: [Province of Palermo, contains, Villabate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villabate
Context triple: [Province of Palermo, contains, Villabate]
  • A. Villabate chosen
    Villabate is a town in Sicily, Italy, situated near the city of Palermo and known for its role as a residential and commercial suburb of the regional capital.
  • B. Paternò
    Paternò is a historic town in eastern Sicily, Italy, known for its medieval castle, agricultural production, and proximity to Mount Etna.
  • C. Belpasso
    Belpasso is a town and comune in eastern Sicily, Italy, situated on the slopes of Mount Etna within the Metropolitan City of Catania.
  • D. Giarre
    Giarre is a town in eastern Sicily, Italy, situated near the Ionian coast and known for its historic architecture and proximity to Mount Etna.
  • E. Avola
    Avola is a coastal town in southeastern Sicily, Italy, known for its wine production—especially Nero d’Avola—and its almonds.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df52f8b08190ab2c4d76b510cd28 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.