Triple

T23075161
Position Surface form Disambiguated ID Type / Status
Subject Asker E575307 entity
Predicate contains P35 FINISHED
Object Blakstad 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: Blakstad | Statement: [Asker, contains, Blakstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blakstad
Context triple: [Asker, contains, Blakstad]
  • A. Blakstad chosen
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • B. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • C. Bjølstad
    Bjølstad is a small settlement located in Sel municipality in Innlandet county, Norway, known for its rural setting in the Gudbrandsdalen valley region.
  • D. Fjeldstad
    Fjeldstad is a Norwegian surname most notably associated with conductor and violinist Øivin Fjeldstad.
  • E. Flesberg
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c62c200819099c92654493288ad completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.