Triple

T4446283
Position Surface form Disambiguated ID Type / Status
Subject Østfold E96296 entity
Predicate contains P35 FINISHED
Object Hvaler E298659 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: Hvaler | Statement: [Østfold, contains, Hvaler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hvaler
Context triple: [Østfold, contains, Hvaler]
  • A. Hvaler chosen
    Hvaler is a Norwegian coastal municipality and archipelago in Viken county, known for its islands, fishing communities, and popular seaside recreation areas.
  • B. Orcines
    Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
  • C. Gadus
    Gadus is a genus of marine fish that includes the economically important true cods found in cold and temperate waters of the Northern Hemisphere.
  • D. Dolphin
    Dolphin was the internal codename used by Nintendo during the development of the GameCube console.
  • E. Gisk’aast (Killer Whale)
    Gisk’aast (Killer Whale) is one of the principal matrilineal clans of the Nisga’a people, traditionally associated with the killer whale crest and its related histories, rights, and territories.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613850eb88190b689a632b0e2b374 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.