Triple

T13717288
Position Surface form Disambiguated ID Type / Status
Subject Linha de Azambuja E328933 entity
Predicate isPartOf P10 FINISHED
Object Linha do Norte E302845 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: Linha do Norte | Statement: [Linha de Azambuja, isPartOf, Linha do Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linha do Norte
Context triple: [Linha de Azambuja, isPartOf, Linha do Norte]
  • A. Linha do Norte chosen
    Linha do Norte is Portugal’s principal mainline railway corridor, linking Lisbon and Porto and serving as the country’s busiest and most important rail route.
  • B. The Great North
    The Great North is an animated sitcom that follows the eccentric Tobin family as they navigate life in the wilds of Alaska.
  • C. Chemin de fer du Nord
    Chemin de fer du Nord was a major 19th–20th century French railway company that operated the rail network serving northern France and connecting Paris with Belgium and the United Kingdom via Channel ports.
  • D. Gateway to the North
    Gateway to the North is a nickname for Edmonton, a major Canadian city that serves as a key transportation and economic hub for northern Alberta and the broader Canadian North.
  • E. The Railway
    The Railway is an 1873 oil painting by Édouard Manet depicting a woman and a young girl by a Paris train station, notable for its modern urban subject and unconventional composition.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.