Triple

T16242838
Position Surface form Disambiguated ID Type / Status
Subject Askøy E394295 entity
Predicate includesVillage P4011 FINISHED
Object Strusshamn E1195479 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: Strusshamn | Statement: [Askøy, includesVillage, Strusshamn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strusshamn
Context triple: [Askøy, includesVillage, Strusshamn]
  • A. Strusshamn chosen
    Strusshamn is a coastal village in western Norway known for its traditional wooden architecture and maritime heritage, located on the island of Askøy near Bergen.
  • B. Mosterhamn
    Mosterhamn is a coastal village in Vestland county, Norway, known for its maritime heritage and historic church site.
  • C. Orrestranda
    Orrestranda is a long, sandy beach on Norway’s Jæren coast, known for its dunes, birdlife, and popularity with surfers and walkers.
  • D. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • E. Hovstranda
    Hovstranda is a scenic sandy beach on the island of Gimsøya in Norway’s Lofoten archipelago, known for its coastal views and midnight sun.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edf64a88190a9dd0c591c742977 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.