Triple

T18136376
Position Surface form Disambiguated ID Type / Status
Subject Hornbæk E434146 entity
Predicate railwayLine P848 FINISHED
Object Hornbæk Line NE NERFINISHED

How this triple was built (3 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: Hornbæk Line | Statement: [Hornbæk, railwayLine, Hornbæk Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hornbæk Line
Context triple: [Hornbæk, railwayLine, Hornbæk Line]
  • A. Frederiksværk Line
    The Frederiksværk Line is a Danish regional railway line in North Zealand that connects several towns between Hillerød and Hundested.
  • B. Copenhagen–Høje Taastrup line
    The Copenhagen–Høje Taastrup line is a major Danish railway corridor connecting central Copenhagen with the western suburb of Høje Taastrup, serving both regional and long-distance traffic.
  • C. Østfold Line
    The Østfold Line is a major railway line in southeastern Norway that runs from Oslo through towns in the Østfold region toward the Swedish border.
  • D. Copenhagen–Roskilde line
    The Copenhagen–Roskilde line is one of Denmark’s oldest and most important railway routes, connecting the capital Copenhagen with the historic city of Roskilde and serving major suburban hubs along the way.
  • E. Rødbyhavn–Copenhagen line
    The Rødbyhavn–Copenhagen line is a key Danish railway route linking the ferry port of Rødbyhavn on Lolland with the capital city of Copenhagen, forming part of an important international transport corridor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hornbæk Line
Target entity description: The Hornbæk Line is a Danish coastal railway route in North Zealand that connects Helsingør with Gilleleje, serving towns along the Øresund shoreline.
  • A. Frederiksværk Line
    The Frederiksværk Line is a Danish regional railway line in North Zealand that connects several towns between Hillerød and Hundested.
  • B. Copenhagen–Høje Taastrup line
    The Copenhagen–Høje Taastrup line is a major Danish railway corridor connecting central Copenhagen with the western suburb of Høje Taastrup, serving both regional and long-distance traffic.
  • C. Østfold Line
    The Østfold Line is a major railway line in southeastern Norway that runs from Oslo through towns in the Østfold region toward the Swedish border.
  • D. Copenhagen–Roskilde line
    The Copenhagen–Roskilde line is one of Denmark’s oldest and most important railway routes, connecting the capital Copenhagen with the historic city of Roskilde and serving major suburban hubs along the way.
  • E. Rødbyhavn–Copenhagen line
    The Rødbyhavn–Copenhagen line is a key Danish railway route linking the ferry port of Rødbyhavn on Lolland with the capital city of Copenhagen, forming part of an important international transport corridor.
  • F. None of above. chosen

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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de07b4b4819085fe80beb7addfd0 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.