Triple

T23082731
Position Surface form Disambiguated ID Type / Status
Subject Støren E575518 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Rognes 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: Rognes | Statement: [Støren, hasNearbyVillage, Rognes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rognes
Context triple: [Støren, hasNearbyVillage, Rognes]
  • A. Rognes chosen
    Rognes is a small village in Trøndelag county, Norway, situated within the municipality of Midtre Gauldal.
  • B. Lyngstad
    Lyngstad is the surname of Anni-Frid Lyngstad, the Norwegian-Swedish singer best known as one of the lead vocalists of the pop group ABBA.
  • C. Rødberg
    Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
  • D. Ropstad
    Ropstad is a Norwegian surname most notably associated with politician Kjell Ingolf Ropstad.
  • E. Finnentrop
    Finnentrop is a municipality in western Germany known for its location in the Sauerland region of North Rhine-Westphalia and its mix of rural landscapes and industrial activity.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da239e48190ad041261c6b510a0 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.