Triple

T19121312
Position Surface form Disambiguated ID Type / Status
Subject Odivelas Municipality E468051 entity
Predicate servedBy P82 FINISHED
Object Ameixoeira 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: Ameixoeira Metro station | Statement: [Odivelas Municipality, servedBy, Ameixoeira Metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ameixoeira Metro station
Context triple: [Odivelas Municipality, servedBy, Ameixoeira Metro station]
  • A. Consolação metro station
    Consolação metro station is a key São Paulo Metro stop on Line 2–Green, located in the central business and cultural corridor of Avenida Paulista.
  • B. Brigadeiro metro station
    Brigadeiro metro station is an underground São Paulo Metro stop on Line 2–Green located in the busy Avenida Paulista financial and cultural corridor.
  • C. Santa Apolónia metro station
    Santa Apolónia metro station is an underground Lisbon Metro stop on the Blue Line that serves as a key interchange with the adjacent Santa Apolónia railway terminus near the Tagus riverfront.
  • D. Butantã Metro Station
    Butantã Metro Station is an underground station on Line 4–Yellow of the São Paulo Metro, serving the Butantã district and nearby University of São Paulo area.
  • E. Cosme Velho station
    Cosme Velho station is the lower terminus of Rio de Janeiro’s Corcovado Rack Railway, serving as the main departure point for visitors traveling up to the Christ the Redeemer statue.
  • 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: Ameixoeira Metro station
Target entity description: Ameixoeira Metro station is a Lisbon Metro station on the Yellow Line that serves the northern residential area of the city, including parts of Odivelas Municipality.
  • A. Consolação metro station
    Consolação metro station is a key São Paulo Metro stop on Line 2–Green, located in the central business and cultural corridor of Avenida Paulista.
  • B. Brigadeiro metro station
    Brigadeiro metro station is an underground São Paulo Metro stop on Line 2–Green located in the busy Avenida Paulista financial and cultural corridor.
  • C. Santa Apolónia metro station
    Santa Apolónia metro station is an underground Lisbon Metro stop on the Blue Line that serves as a key interchange with the adjacent Santa Apolónia railway terminus near the Tagus riverfront.
  • D. Butantã Metro Station
    Butantã Metro Station is an underground station on Line 4–Yellow of the São Paulo Metro, serving the Butantã district and nearby University of São Paulo area.
  • E. Cosme Velho station
    Cosme Velho station is the lower terminus of Rio de Janeiro’s Corcovado Rack Railway, serving as the main departure point for visitors traveling up to the Christ the Redeemer statue.
  • 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.