Triple

T15333685
Position Surface form Disambiguated ID Type / Status
Subject Hordaland E366605 entity
Predicate containsTown P847 FINISHED
Object Leirvik E371041 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: Leirvik | Statement: [Hordaland, containsTown, Leirvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leirvik
Context triple: [Hordaland, containsTown, Leirvik]
  • A. Leirvik chosen
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • B. Lugnvik
    Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
  • C. Hoddevik
    Hoddevik is a small coastal village in western Norway known for its scenic bay, sandy beach, and popularity as a surfing destination.
  • D. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • E. Birketveit
    Birketveit is a village in Agder county, Norway, serving as the main local hub for municipal services and community life in Iveland.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2efb148190a2e6c0811f2afb5f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:17 a.m.