Triple

T16509961
Position Surface form Disambiguated ID Type / Status
Subject Nordland E401032 entity
Predicate hasMunicipality P847 FINISHED
Object Alstahaug 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: Alstahaug | Statement: [Nordland, hasMunicipality, Alstahaug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alstahaug
Context triple: [Nordland, hasMunicipality, Alstahaug]
  • A. Alstahaug chosen
    Alstahaug is a coastal municipality in northern Norway known for its historic church, island landscapes, and maritime heritage.
  • B. Avaldsnes
    Avaldsnes is a historic village in Rogaland county, Norway, known as one of the country’s oldest royal seats and a key center in Viking-era history.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Reinheim
    Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
  • E. Horgabost
    Horgabost is a small coastal settlement on the Isle of Harris in Scotland’s Outer Hebrides, known for its scenic beaches and rugged island landscape.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:14 a.m.