Triple

T18113874
Position Surface form Disambiguated ID Type / Status
Subject Steinberg E433549 entity
Predicate nearbySettlement P350 FINISHED
Object Hokksund NE NERFINISHED

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: Hokksund | Statement: [Steinberg, nearbySettlement, Hokksund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokksund
Context triple: [Steinberg, nearbySettlement, Hokksund]
  • A. Hokksund chosen
    Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
  • B. Holmsund
    Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
  • C. Kroksund
    Kroksund is a small village in the municipality of Hole in Buskerud county, Norway.
  • D. Håkvik
    Håkvik is a small settlement in northern Norway, located within Narvik Municipality in Nordland county.
  • E. Fyksesund
    Fyksesund is a narrow fjord arm in western Norway known for its dramatic landscapes and traditional coastal settlements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.