Triple

T18167790
Position Surface form Disambiguated ID Type / Status
Subject Province of Palermo E434938 entity
Predicate contains P35 FINISHED
Object Bagheria 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: Bagheria | Statement: [Province of Palermo, contains, Bagheria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagheria
Context triple: [Province of Palermo, contains, Bagheria]
  • A. Bagheria chosen
    Bagheria is a coastal town in Sicily, Italy, known for its historic Baroque villas and proximity to Palermo.
  • B. Gafsa
    Gafsa is a historic oasis city in central Tunisia known for its ancient Roman and pre-Roman heritage and its role as a regional economic and administrative center.
  • C. Dey of Tunis
    The Dey of Tunis was the Ottoman-appointed military governor and de facto ruler of Tunis, wielding significant political and administrative authority in the region.
  • D. Marsaskala
    Marsaskala is a coastal town in southeastern Malta known for its picturesque fishing harbor, promenade, and growing residential and tourist community.
  • E. Mahdia
    Mahdia is a historic coastal city in present-day Tunisia that served as the first capital of the Fatimid Caliphate and an important Mediterranean trading and naval center.
  • 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.