Triple

T10428556
Position Surface form Disambiguated ID Type / Status
Subject municipality of Hvaler E245848 entity
Predicate administrativeCentre P1474 FINISHED
Object Skjærhalden E862701 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: Skjærhalden | Statement: [municipality of Hvaler, administrativeCentre, Skjærhalden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skjærhalden
Context triple: [municipality of Hvaler, administrativeCentre, Skjærhalden]
  • A. Skjærhalden chosen
    Skjærhalden is a coastal village in southeastern Norway that serves as the administrative and commercial center of the island municipality of Hvaler.
  • B. Evenskjer
    Evenskjer is a small village in Northern Norway that serves as an administrative and service center in the Troms region.
  • C. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • D. Knivskjellodden
    Knivskjellodden is a remote headland in northern Norway that actually extends slightly farther north than the famous North Cape, making it one of the northernmost points of mainland Europe accessible by hiking.
  • E. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87ea554888190bf2ef31e33c0ff14 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:13 p.m.