Triple

T18848058
Position Surface form Disambiguated ID Type / Status
Subject Lisbon ferry terminal at Terreiro do Paço E460968 entity
Predicate connectsTo P845 FINISHED
Object Barreiro 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: Barreiro | Statement: [Lisbon ferry terminal at Terreiro do Paço, connectsTo, Barreiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barreiro
Context triple: [Lisbon ferry terminal at Terreiro do Paço, connectsTo, Barreiro]
  • A. Barreiro
    Barreiro is a small village located on the Cape Verdean island of Maio.
  • B. Barreiro chosen
    Barreiro is a Portuguese city located on the south bank of the Tagus River opposite Lisbon, known historically for its industrial activity and as a commuter hub for the capital.
  • C. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • D. Póvoa de Penela
    Póvoa de Penela is a civil parish located in the municipality of Penedono in Portugal.
  • E. Oeiras
    Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
  • 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_69e5b8f079b881908759135c5e2619ee completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.