Triple

T14816987
Position Surface form Disambiguated ID Type / Status
Subject Randaberg E348342 entity
Predicate hasSettlement P1068 FINISHED
Object Randaberg village E348342 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: Randaberg village | Statement: [Randaberg, hasSettlement, Randaberg village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randaberg village
Context triple: [Randaberg, hasSettlement, Randaberg village]
  • A. Randaberg chosen
    Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
  • B. Rollag village
    Rollag village is a small rural settlement in Norway that serves as the local hub for municipal services and community life in the Rollag area.
  • C. Ringebu village
    Ringebu village is a small settlement in Innlandet county, Norway, known for its scenic valley setting, historic stave church, and location along the Gudbrandsdalslågen river.
  • D. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • E. Ballangen village
    Ballangen village is a small settlement in Nordland county, Norway, known for its fjord-side location and history of mining activity.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64f8b4148190bc24f9a307178419 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:50 a.m.