Triple

T19390910
Position Surface form Disambiguated ID Type / Status
Subject Barletta E485063 entity
Predicate hasTransport P1298 FINISHED
Object Barletta railway station NE NERFINISHED

How this triple was built (3 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: Barletta railway station | Statement: [Barletta, hasTransport, Barletta railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barletta railway station
Context triple: [Barletta, hasTransport, Barletta railway station]
  • A. Lecce railway station
    Lecce railway station is a major rail hub in the city of Lecce in southern Italy, serving as an important terminus for regional and long-distance trains across the country.
  • B. Cosenza railway station
    Cosenza railway station is the main rail hub serving the city of Cosenza in Calabria, Italy, connecting it to regional and national rail networks.
  • C. Brindisi railway station
    Brindisi railway station is the main rail hub serving the city of Brindisi in southern Italy, connecting it to major national and regional destinations.
  • D. Avellino railway station
    Avellino railway station is the main rail transport hub serving the city of Avellino in southern Italy, connecting it to regional and national rail networks.
  • E. Caserta railway station
    Caserta railway station is a major rail hub in southern Italy that serves the city of Caserta and provides important regional and long-distance connections, including routes to Naples and Rome.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barletta railway station
Target entity description: Barletta railway station is a key rail hub in the Apulia region of southern Italy, serving regional and long-distance passenger services for the city of Barletta and its surroundings.
  • A. Lecce railway station
    Lecce railway station is a major rail hub in the city of Lecce in southern Italy, serving as an important terminus for regional and long-distance trains across the country.
  • B. Cosenza railway station
    Cosenza railway station is the main rail hub serving the city of Cosenza in Calabria, Italy, connecting it to regional and national rail networks.
  • C. Brindisi railway station
    Brindisi railway station is the main rail hub serving the city of Brindisi in southern Italy, connecting it to major national and regional destinations.
  • D. Avellino railway station
    Avellino railway station is the main rail transport hub serving the city of Avellino in southern Italy, connecting it to regional and national rail networks.
  • E. Caserta railway station
    Caserta railway station is a major rail hub in southern Italy that serves the city of Caserta and provides important regional and long-distance connections, including routes to Naples and Rome.
  • F. None of above. chosen

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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b44b70c81908e2f0deeabe4360f completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.