Triple

T14996073
Position Surface form Disambiguated ID Type / Status
Subject Albergheria E373960 entity
Predicate contains P35 FINISHED
Object Ballarò E373963 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: Ballarò | Statement: [Albergheria, contains, Ballarò]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballarò
Context triple: [Albergheria, contains, Ballarò]
  • A. Ballarò chosen
    Ballarò is a historic and bustling open-air street market in Palermo, Sicily, known for its vibrant atmosphere, fresh produce, and traditional Sicilian street food.
  • B. Balla
    Balla is an Italian surname most notably associated with Giacomo Balla, a leading painter of the Futurist movement.
  • C. Ballasalla
    Ballasalla is a small village on the Isle of Man, known for its historic Rushen Abbey and proximity to the island’s former capital, Castletown.
  • D. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • E. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded718e4288190b5e144f82299a194 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969a63f081908bf11783e2a51229 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.