Triple

T15042520
Position Surface form Disambiguated ID Type / Status
Subject Stord E378635 entity
Predicate hasParish P35 FINISHED
Object Stord parish E383725 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: Stord parish | Statement: [Stord, hasParish, Stord parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stord parish
Context triple: [Stord, hasParish, Stord parish]
  • A. Stord Municipality chosen
    Stord Municipality is a local government area and island community in western Norway known for its maritime industry and role as a regional hub in Vestland county.
  • B. Røst parish
    Røst parish is a Church of Norway parish serving the small island community of Røst in Nordland county.
  • C. Vaksdal Municipality
    Vaksdal Municipality is a local government area in western Norway known for its fjord landscapes, hydropower development, and traditional industrial communities.
  • D. Sogndal Municipality
    Sogndal Municipality is a scenic local government area in western Norway known for its fjord landscape, outdoor recreation, and the town of Sogndal as an educational and service center.
  • E. Sokndal municipality
    Sokndal municipality is a coastal municipality in Rogaland county, southwestern Norway, known for its rugged fjord landscape, including the historic Jøssingfjord.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 3 a.m.