Triple

T13891548
Position Surface form Disambiguated ID Type / Status
Subject Northern Line (Portugal) E333982 entity
Predicate hasStation P35 FINISHED
Object Lisboa-Oriente E1000913 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: Lisboa-Oriente | Statement: [Northern Line (Portugal), hasStation, Lisboa-Oriente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisboa-Oriente
Context triple: [Northern Line (Portugal), hasStation, Lisboa-Oriente]
  • A. Lisboa-Oriente chosen
    Lisboa-Oriente is a major intermodal railway and transport hub in Lisbon, Portugal, known for its modern architecture and role as a key gateway for national and international travel.
  • B. Lisboa-Santa Apolónia
    Lisboa-Santa Apolónia is one of Lisbon’s main railway termini, serving as a key national and international rail hub in Portugal.
  • C. Lisboa Sete Rios
    Lisboa Sete Rios is a major railway and bus interchange in Lisbon, Portugal, serving regional and suburban train lines as well as long-distance coach services.
  • D. Odivelas
    Odivelas is a suburban city and municipality in the Lisbon metropolitan area of Portugal, known for its residential character and proximity to the capital.
  • E. Oeiras
    Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce71dcd481908f732542dfb1c3e3 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:15 p.m.