Triple

T12883155
Position Surface form Disambiguated ID Type / Status
Subject STCP bus network E308153 entity
Predicate connectsTo P845 FINISHED
Object Porto Metro E308152 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: Porto Metro | Statement: [STCP bus network, connectsTo, Porto Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto Metro
Context triple: [STCP bus network, connectsTo, Porto Metro]
  • A. Porto Metro chosen
    Porto Metro is the light rail and rapid transit system serving the Porto metropolitan area in northern Portugal.
  • B. Lisbon Metro
    Lisbon Metro is the rapid transit system serving Portugal’s capital, providing an extensive network of underground and suburban rail lines across the Lisbon metropolitan area.
  • C. Lisbon Tramway
    The Lisbon Tramway is a historic network of yellow streetcars that navigate Lisbon’s steep, narrow streets and serve as both public transport and a popular tourist attraction.
  • D. São Paulo Metro
    The São Paulo Metro is a major rapid transit system serving the city of São Paulo, Brazil, known for its extensive network, high ridership, and role as a backbone of the city's public transportation.
  • E. Lisbon public transport network
    The Lisbon public transport network is the integrated system of trams, buses, metro lines, funiculars, lifts, and suburban trains that serves the city of Lisbon and its surrounding areas.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.