Triple

T15825342
Position Surface form Disambiguated ID Type / Status
Subject Stord Municipality E383725 entity
Predicate partOf P40 FINISHED
Object Sunnhordland district E1136106 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: Sunnhordland district | Statement: [Stord Municipality, partOf, Sunnhordland district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunnhordland district
Context triple: [Stord Municipality, partOf, Sunnhordland district]
  • A. Sunnhordland chosen
    Sunnhordland is a traditional district in western Norway, known for its coastal landscapes, islands, and fjords in the southern part of Vestland county.
  • B. Faro District
    Faro District is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal resorts.
  • C. Midthordland
    Midthordland is a traditional district in western Norway, forming part of the coastal and fjord landscape around the city of Bergen.
  • D. Lofoten district
    Lofoten district is a scenic archipelago in northern Norway known for its dramatic mountains, fishing villages, and Arctic coastal landscapes.
  • E. Vesterålen district
    Vesterålen district is a coastal region in northern Norway known for its dramatic islands, rich fishing traditions, and whale-watching opportunities.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e602e5481908baa71c3d9b2008f completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93be478819099908e7242f532d7 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.