Triple

T13339361
Position Surface form Disambiguated ID Type / Status
Subject Catania Centrale railway station E317782 entity
Predicate connectsTo P845 FINISHED
Object Messina E83961 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: Messina | Statement: [Catania Centrale railway station, connectsTo, Messina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messina
Context triple: [Catania Centrale railway station, connectsTo, Messina]
  • A. Messina chosen
    Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
  • B. Messina
    Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
  • C. Trapani
    Trapani is a coastal city in western Sicily, Italy, known for its historic port, salt pans, and proximity to the Egadi Islands.
  • D. Palermo
    Palermo is an unincorporated community and census-designated place within Upper Township in Cape May County, New Jersey, known for its residential character and proximity to the Jersey Shore.
  • E. Palermo
    Palermo is the historic capital of Sicily, renowned for its rich multicultural heritage, including a significant medieval Jewish presence, and its blend of Arab-Norman architecture, vibrant markets, and coastal setting.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cf863fc81908723f7f6b3d45510 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 9:31 p.m.