Triple

T20708144
Position Surface form Disambiguated ID Type / Status
Subject Hovedbanen company E508958 entity
Predicate notableWork P4 FINISHED
Object Hoved 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: Hoved Line | Statement: [Hovedbanen company, notableWork, Hoved Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoved Line
Context triple: [Hovedbanen company, notableWork, Hoved Line]
  • A. Hoved Line chosen
    The Hoved Line is Norway’s oldest railway line, connecting Oslo with Eidsvoll and forming a key part of the country’s rail network.
  • B. Tua Line
    Tua Line is a scenic narrow-gauge railway in northeastern Portugal, known for running along the Tua River through rugged, picturesque landscapes.
  • C. Coast Line
    Coast Line was a major Southern Pacific Railroad route running along California’s Pacific coast, connecting key cities such as Los Angeles and San Francisco.
  • D. Coast Line
    Coast Line is a major Danish railway route along the Øresund coast connecting Copenhagen with Helsingør and serving as an important commuter and regional line.
  • E. Follo Line
    Follo Line is a high-speed railway line in southeastern Norway connecting Oslo with the town of Ski to improve regional and commuter rail capacity.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.