Triple

T7178662
Position Surface form Disambiguated ID Type / Status
Subject Häggvik E167384 entity
Predicate nearbyLocality P4647 FINISHED
Object Norrviken E164484 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: Norrviken | Statement: [Häggvik, nearbyLocality, Norrviken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norrviken
Context triple: [Häggvik, nearbyLocality, Norrviken]
  • A. Ulvik
    Ulvik is a small scenic municipality and village area in Vestland county, Norway, known for its fjord landscape, fruit orchards, and location along the inner reaches of the Hardanger region.
  • B. Iveland
    Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
  • C. Edsviken chosen
    Edsviken is a narrow bay of the Baltic Sea in the Stockholm area, known for its residential waterfronts, marinas, and recreational natural surroundings.
  • D. Gällivare
    Gällivare is a mining town in northern Sweden known for its significant iron ore deposits and role in the region’s mining industry.
  • E. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8b8241081908edb5b5a5c35d4d3 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b92f3d748190ab2a3694420b5724 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.