Triple

T13891508
Position Surface form Disambiguated ID Type / Status
Subject Santa Apolónia metro station E333981 entity
Predicate serves P98 FINISHED
Object Lisbon city centre E468049 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: Lisbon city centre | Statement: [Santa Apolónia metro station, serves, Lisbon city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon city centre
Context triple: [Santa Apolónia metro station, serves, Lisbon city centre]
  • A. City of Lisbon
    The City of Lisbon is the municipal government authority responsible for administering and providing local services to the community of Lisbon, Iowa.
  • B. Lisbon
    Lisbon is the coastal capital city of Portugal, renowned for its historic architecture, hilly landscape, and role as a major cultural and economic center in Europe.
  • C. Lisbon
    Lisbon is the alias of Raquel Murillo, a former police inspector who becomes one of the central members of the Professor’s gang in the Spanish series "Money Heist" (La Casa de Papel).
  • D. Lux Lisbon
    Lux Lisbon is a rebellious and enigmatic teenage girl whose tragic story and inner turmoil are central to the haunting atmosphere of *The Virgin Suicides*.
  • E. Lisbon historic centre chosen
    Lisbon historic centre is the city’s ancient core, known for its medieval streets, historic landmarks, and traditional neighborhoods overlooking the Tagus River.
  • 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_69fba1c0b6848190b67051e0ccbdb707 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:15 p.m.