Triple

T20017972
Position Surface form Disambiguated ID Type / Status
Subject Surnadal E494771 entity
Predicate hasNeighbour P5707 FINISHED
Object Rindal 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: Rindal | Statement: [Surnadal, hasNeighbour, Rindal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rindal
Context triple: [Surnadal, hasNeighbour, Rindal]
  • A. Rindal chosen
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • B. Paronto
    Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
  • C. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • D. Kuwarra
    Kuwarra is an Australian Aboriginal language variety spoken by Indigenous communities in the Western Desert region.
  • E. Hattula
    Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.