Triple

T23075177
Position Surface form Disambiguated ID Type / Status
Subject Asker E575307 entity
Predicate servedBy P82 FINISHED
Object Asker Line NE NERFINISHED

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: Asker Line | Statement: [Asker, servedBy, Asker Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asker Line
Context triple: [Asker, servedBy, Asker Line]
  • A. Asker Line chosen
    Asker Line is a Norwegian railway line serving the Oslo region, known for handling high-speed and airport express train services.
  • B. Støren Line
    The Støren Line is a historic Norwegian railway route in Trøndelag that connects Trondheim with inland regions to the south and forms part of the country’s main north–south rail corridor.
  • C. Vestfold Line
    The Vestfold Line is a key railway route in southeastern Norway that connects Oslo with towns along the western shore of the Oslofjord, serving as an important corridor for both passenger and regional traffic.
  • D. Randsfjord Line
    The Randsfjord Line is a historic Norwegian railway line connecting Drammen to Hønefoss, once an important route for both passenger and freight traffic in southeastern Norway.
  • E. Bratsberg Line
    The Bratsberg Line is a Norwegian railway route in Telemark that connects several inland towns to the national rail network, primarily serving regional passenger traffic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c62c200819099c92654493288ad completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.