Triple

T20395137
Position Surface form Disambiguated ID Type / Status
Subject Bratsberg Line E500181 entity
Predicate serves P98 FINISHED
Object Lunde 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: Lunde | Statement: [Bratsberg Line, serves, Lunde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lunde
Context triple: [Bratsberg Line, serves, Lunde]
  • A. Lunde chosen
    Lunde is a variant form of the Scandinavian place and surname "Lund," commonly found in Norway and Denmark.
  • B. Lunde
    Lunde is a small village located within Sirdal municipality in Agder county, southern Norway.
  • C. Hauge
    Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
  • D. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • E. Nadderud
    Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67912d7948190ac2fda8ce95e5c70 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.