Triple

T19121310
Position Surface form Disambiguated ID Type / Status
Subject Odivelas Municipality E468051 entity
Predicate servedBy P82 FINISHED
Object Odivelas Metro 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: Odivelas Metro station | Statement: [Odivelas Municipality, servedBy, Odivelas Metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Odivelas Metro station
Context triple: [Odivelas Municipality, servedBy, Odivelas Metro station]
  • A. Antero de Quental metro station
    Antero de Quental metro station is an underground rapid transit station in Rio de Janeiro’s Leblon neighborhood, serving Line 4 of the city’s metro system.
  • B. Marquês de Pombal metro station
    Marquês de Pombal metro station is a major Lisbon Metro interchange and transport hub located at the Marquês de Pombal square, serving multiple lines and connecting central Lisbon with other parts of the city.
  • C. Martim Moniz metro station
    Martim Moniz metro station is an underground Lisbon Metro station on the Green Line, serving the central Martim Moniz square near the historic downtown area.
  • D. Oliveira de Azeméis station
    Oliveira de Azeméis station is a railway station in the town of Oliveira de Azeméis, Portugal, serving passengers on the narrow-gauge Vouga Line.
  • E. Lisbon Oriente railway station
    Lisbon Oriente railway station is a major modern transport hub in Lisbon, Portugal, known for its striking contemporary architecture and role as a key national and international rail interchange.
  • 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: Odivelas Metro station
Target entity description: Odivelas Metro station is a Lisbon Metro terminus that provides urban rail access to the suburban municipality of Odivelas, Portugal.
  • A. Antero de Quental metro station
    Antero de Quental metro station is an underground rapid transit station in Rio de Janeiro’s Leblon neighborhood, serving Line 4 of the city’s metro system.
  • B. Marquês de Pombal metro station
    Marquês de Pombal metro station is a major Lisbon Metro interchange and transport hub located at the Marquês de Pombal square, serving multiple lines and connecting central Lisbon with other parts of the city.
  • C. Martim Moniz metro station
    Martim Moniz metro station is an underground Lisbon Metro station on the Green Line, serving the central Martim Moniz square near the historic downtown area.
  • D. Oliveira de Azeméis station
    Oliveira de Azeméis station is a railway station in the town of Oliveira de Azeméis, Portugal, serving passengers on the narrow-gauge Vouga Line.
  • E. Lisbon Oriente railway station
    Lisbon Oriente railway station is a major modern transport hub in Lisbon, Portugal, known for its striking contemporary architecture and role as a key national and international rail interchange.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c921d4819092e2ae237bf85978 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.