Triple

T4255984
Position Surface form Disambiguated ID Type / Status
Subject Porto E95974 entity
Predicate hasMetroSystem P522 FINISHED
Object Metro do Porto 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: Metro do Porto | Statement: [Porto, hasMetroSystem, Metro do Porto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro do Porto
Context triple: [Porto, hasMetroSystem, Metro do Porto]
  • 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. 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.
  • E. Lisbon funiculars
    The Lisbon funiculars are historic cable-operated hillside railways that help passengers navigate the steep slopes of Portugal’s capital, serving both as practical public transport and popular tourist attractions.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.