Triple

T20220588
Position Surface form Disambiguated ID Type / Status
Subject Vanylven E495241 entity
Predicate hasSettlement P1068 FINISHED
Object Eidså 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: Eidså | Statement: [Vanylven, hasSettlement, Eidså]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidså
Context triple: [Vanylven, hasSettlement, Eidså]
  • A. Eidså chosen
    Eidså is a small village in Vanylven Municipality in Møre og Romsdal county, Norway.
  • B. Fjørå
    Fjørå is a small Norwegian village situated along the inner reaches of a fjord in Møre og Romsdal county.
  • C. Søråa
    Søråa is a river located in the Namdalen district of Trøndelag county in central Norway.
  • D. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • E. Solevåg
    Solevåg is a village in Sula Municipality in Møre og Romsdal county, Norway, known for its coastal setting near the town of Ålesund.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edc88148190b003b72eb4c69da5 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.