Triple

T3458876
Position Surface form Disambiguated ID Type / Status
Subject Nelonen E72971 entity
Predicate sisterChannel P5818 FINISHED
Object Nelonen Pro 2 E72971 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: Nelonen Pro 2 | Statement: [Nelonen, sisterChannel, Nelonen Pro 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelonen Pro 2
Context triple: [Nelonen, sisterChannel, Nelonen Pro 2]
  • A. Nelonen chosen
    Nelonen is a prominent Finnish commercial television channel known for broadcasting a wide range of entertainment, drama, reality shows, and sports programming.
  • B. Nele
    Nele is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its philosophical depth and exploration of human values.
  • C. Noll
    Noll is a surname most prominently associated with Chuck Noll, the legendary head coach who led the Pittsburgh Steelers to four Super Bowl titles.
  • D. NARALO
    NARALO is the North American Regional At-Large Organization within ICANN that represents the interests of individual internet users in the North American region.
  • E. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae4c18881908b48d16e46f78209 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680170e081909c0d3a39a741280d completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:16 p.m.