Triple

T5706964
Position Surface form Disambiguated ID Type / Status
Subject Oslo Airport Station E125807 entity
Predicate servedBy P82 FINISHED
Object Flytoget E119736 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: Flytoget | Statement: [Oslo Airport Station, servedBy, Flytoget]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flytoget
Context triple: [Oslo Airport Station, servedBy, Flytoget]
  • A. Flytoget chosen
    Flytoget is Norway’s high-speed airport express train service that connects Oslo Airport with Oslo and surrounding areas.
  • B. Saas-Grund
    Saas-Grund is a Swiss alpine village and municipality in the canton of Valais, known as a gateway to the Saas Valley ski and hiking region.
  • C. Redfin
    Redfin is a technology-powered real estate brokerage and listings platform that enables users to buy, sell, and search for homes online.
  • D. Häuser
    Häuser is a photographic series by German artist Thomas Ruff featuring large-format, deadpan images of suburban and urban building facades that explore architecture, anonymity, and the nature of photographic representation.
  • E. Social House
    Social House is an American pop and hip-hop production and songwriting duo known for their work with major artists like Ariana Grande as well as their own releases.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024892fd88190a91133fc88365410 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6c17608190a9a808c2c77d937c completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:45 p.m.