Triple

T10536719
Position Surface form Disambiguated ID Type / Status
Subject Västmanland E248581 entity
Predicate hasTown P847 FINISHED
Object Norberg E681262 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: Norberg | Statement: [Västmanland, hasTown, Norberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norberg
Context triple: [Västmanland, hasTown, Norberg]
  • A. Norén
    Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
  • B. Norsborg
    Norsborg is a suburban district in Botkyrka Municipality, southwest of central Stockholm, Sweden, known as the terminus area of the Stockholm metro’s red line.
  • C. Norberg Municipality chosen
    Norberg Municipality is a local government area in Västmanland County, central Sweden, known for its historic mining communities and forested rural landscape.
  • D. Borgheim
    Borgheim is a village in Vestfold, Norway, known primarily as the central hub of local government and services for the island municipality of Nøtterøy.
  • E. Fagerborg
    Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e507b408190ae3538d02536ef4c completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:31 p.m.