Triple

T13522658
Position Surface form Disambiguated ID Type / Status
Subject Linha de Braga E322937 entity
Predicate terminus P388 FINISHED
Object Porto São Bento E1003756 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: Porto São Bento | Statement: [Linha de Braga, terminus, Porto São Bento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto São Bento
Context triple: [Linha de Braga, terminus, Porto São Bento]
  • A. Porto São Bento chosen
    Porto São Bento is a historic railway station in Porto, Portugal, renowned for its ornate azulejo tile panels and central role in the city’s commuter and regional rail network.
  • B. Porto dos Casais
    Porto dos Casais was the original colonial settlement that later developed into the Brazilian city of Porto Alegre.
  • C. Porto da Folha
    Porto da Folha is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural communities and traditional cultural practices.
  • D. Porto Grande
    Porto Grande is the historic natural harbor of Valletta, Malta, renowned for its deep, sheltered waters and strategic importance in Mediterranean maritime trade and naval history.
  • E. Ribeira Grande
    Ribeira Grande is a coastal municipality and city on São Miguel Island in Portugal’s Azores archipelago, known for its historic center, hot springs, and dramatic volcanic landscapes.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549a215c8190a0b18c505d8ca504 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.