Triple

T19648721
Position Surface form Disambiguated ID Type / Status
Subject Alameda (Lisbon Metro) E471750 entity
Predicate connectsLine P845 FINISHED
Object Green Line (Lisbon Metro) 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: Green Line (Lisbon Metro) | Statement: [Alameda (Lisbon Metro), connectsLine, Green Line (Lisbon Metro)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Line (Lisbon Metro)
Context triple: [Alameda (Lisbon Metro), connectsLine, Green Line (Lisbon Metro)]
  • A. 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.
  • B. Porto Metro
    Porto Metro is the light rail and rapid transit system serving the Porto metropolitan area in northern Portugal.
  • 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 suburban rail network
    The Lisbon suburban rail network is a commuter rail system serving the Lisbon metropolitan area, connecting the city with surrounding suburbs and coastal towns.
  • E. São Paulo Metro Line 2-Green
    São Paulo Metro Line 2-Green is a major rapid transit line in São Paulo that runs east–west across the city, connecting central districts with important residential and commercial areas.
  • 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: Green Line (Lisbon Metro)
Target entity description: The Green Line of the Lisbon Metro is one of the city's main rapid transit lines, running roughly north–south through central Lisbon and serving key residential and commercial areas.
  • A. Lisbon Metro chosen
    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.
  • B. Porto Metro
    Porto Metro is the light rail and rapid transit system serving the Porto metropolitan area in northern Portugal.
  • 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 suburban rail network
    The Lisbon suburban rail network is a commuter rail system serving the Lisbon metropolitan area, connecting the city with surrounding suburbs and coastal towns.
  • E. São Paulo Metro Line 2-Green
    São Paulo Metro Line 2-Green is a major rapid transit line in São Paulo that runs east–west across the city, connecting central districts with important residential and commercial areas.
  • F. None of above.

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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.