Triple

T14070460
Position Surface form Disambiguated ID Type / Status
Subject Lisbon–Porto main line E338592 entity
Predicate majorIntermediateCityServed P112697 FINISHED
Object Entroncamento E374173 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: Entroncamento | Statement: [Lisbon–Porto main line, majorIntermediateCityServed, Entroncamento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entroncamento
Context triple: [Lisbon–Porto main line, majorIntermediateCityServed, Entroncamento]
  • A. Entroncamento chosen
    Entroncamento is a Portuguese railway junction city in the Centro Region, known for its strategic location on the country’s main rail lines.
  • B. Encruzilhada
    Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
  • C. Felling
    Felling is a town in Tyne and Wear, England, situated on the south bank of the River Tyne near Gateshead and Newcastle upon Tyne.
  • D. Divisadero
    Divisadero is a nonlinear, character-driven novel by Michael Ondaatje that interweaves past and present across California and France to explore memory, identity, and the fractures within a makeshift family.
  • E. Divisadero
    Divisadero is a popular lookout and tourist stop in Mexico’s Copper Canyon region, known for its dramatic canyon views and access to scenic train routes.
  • 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.