Triple

T18849730
Position Surface form Disambiguated ID Type / Status
Subject Sete Rios railway station E461008 entity
Predicate locatedIn P40 FINISHED
Object Sete Rios, Lisbon NE NERFINISHED

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: Sete Rios, Lisbon | Statement: [Sete Rios railway station, locatedIn, Sete Rios, Lisbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sete Rios, Lisbon
Context triple: [Sete Rios railway station, locatedIn, Sete Rios, Lisbon]
  • 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. São Bento, Lisbon
    São Bento, Lisbon is a historic central neighborhood of Portugal’s capital best known for housing the national parliament in the former São Bento Monastery.
  • C. Lisboa Sete Rios chosen
    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. Campolide, Lisbon
    Campolide, Lisbon is a central Lisbon neighborhood known for hosting the main campus of NOVA University Lisbon and combining residential areas with academic and commercial facilities.
  • E. Alameda, Lisbon
    Alameda, Lisbon is a central district of Portugal’s capital city known for its large public square and as a major academic hub anchored by the Instituto Superior Técnico campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.