Triple

T11627408
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Palermo E276306 entity
Predicate contains P35 FINISHED
Object Bagheria E929960 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: Bagheria | Statement: [Metropolitan City of Palermo, contains, Bagheria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagheria
Context triple: [Metropolitan City 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. 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.
  • D. Zancle
    Zancle was an ancient Greek city in Sicily, known later as Messana (modern Messina), and was one of the key colonies of Magna Graecia.
  • E. Al Bayda
    Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87922b308190a16d026a75b1043e completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.