Triple

T10538979
Position Surface form Disambiguated ID Type / Status
Subject Colin Archer E248645 entity
Predicate residence P75 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: [Colin Archer, residence, Larvik, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larvik, Norway
Context triple: [Colin Archer, residence, 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. Rosendal, Norway
    Rosendal, Norway is a small village in Kvinnherad municipality in Vestland county, known for its dramatic fjord landscape and the historic Barony Rosendal manor.
  • D. 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.
  • E. Fornebu, Norway
    Fornebu, Norway is a coastal area in Bærum just outside Oslo, known for its transformation from the city’s former main airport into a modern hub for technology companies, offices, and residential developments.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5730d88190b266a940faf53f65 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e68d1288190920c26cbfd396a21 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:31 p.m.