Triple

T14070446
Position Surface form Disambiguated ID Type / Status
Subject Ramal de Coimbra E338591 entity
Predicate hasNameInLanguage P15 FINISHED
Object Ramal de Coimbra E338591 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: Ramal de Coimbra | Statement: [Ramal de Coimbra, hasNameInLanguage, Ramal de Coimbra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramal de Coimbra
Context triple: [Ramal de Coimbra, hasNameInLanguage, Ramal de Coimbra]
  • A. Ramal de Coimbra chosen
    Ramal de Coimbra was a Portuguese railway branch line that connected the city of Coimbra to the country’s main rail network.
  • B. Linha de Guimarães
    Linha de Guimarães is a railway line in northern Portugal that connects Porto to the city of Guimarães, serving as an important regional passenger route.
  • C. Linha de Setúbal
    Linha de Setúbal is a Portuguese railway line serving the Setúbal region, connecting it to the national rail network.
  • D. Linha de Braga
    Linha de Braga is a suburban railway line in northern Portugal that connects the city of Braga to the Porto metropolitan rail network.
  • E. Linha de Azambuja
    Linha de Azambuja is a suburban railway line in the Lisbon metropolitan area that connects the capital to the town of Azambuja and serves as a key commuter corridor.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568d0404819087e0fe37c72162cb completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66cfe2c8190af8354316d4f4df9 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.