Triple

T20999351
Position Surface form Disambiguated ID Type / Status
Subject Levanger E517242 entity
Predicate partOf P40 FINISHED
Object Innherred district 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: Innherred district | Statement: [Levanger, partOf, Innherred district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innherred district
Context triple: [Levanger, partOf, Innherred district]
  • A. Innherred chosen
    Innherred is a traditional district in central Norway known for its fertile agricultural landscape and historic towns along the inner Trondheimsfjord.
  • B. Bergshamra district
    Bergshamra district is a residential and commercial area in Solna Municipality, just north of central Stockholm, Sweden.
  • C. Verden district
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • D. Norsborg district
    Norsborg district is a suburban residential area in Botkyrka Municipality, southwest of central Stockholm, known as the terminus of the Stockholm metro’s red line.
  • E. Hadeland district
    Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc2395108190871e173354e4ef6f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.