Triple

T5837863
Position Surface form Disambiguated ID Type / Status
Subject Fram E129517 entity
Predicate placeOfConstruction P14101 FINISHED
Object Larvik, Norway E149637 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: Larvik, Norway | Statement: [Fram, placeOfConstruction, Larvik, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larvik, Norway
Context triple: [Fram, placeOfConstruction, Larvik, Norway]
  • A. Lysaker, Norway
    Lysaker, Norway is a suburban area in Bærum just west of Oslo, known as a residential and commercial hub and historically associated with notable figures such as explorer Fridtjof Nansen.
  • B. Larvik chosen
    Larvik is a coastal town and municipality in Vestfold, Norway, known for its harbor, beaches, and historic connections to the shipping and timber industries.
  • C. Hamar, Norway
    Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
  • D. Folkestad, Norway
    Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
  • E. Horten, Norway
    Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19a6554819086cdae499f4d2247 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.