Triple

T14458587
Position Surface form Disambiguated ID Type / Status
Subject Ruutu E358520 entity
Predicate offersContentFrom P8172 FINISHED
Object Nelonen 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 | Statement: [Ruutu, offersContentFrom, Nelonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelonen
Context triple: [Ruutu, offersContentFrom, Nelonen]
  • 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. Nanneella
    Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
  • C. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • D. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • E. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91aabebc819097eb61b2d81c9a91 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3bade48190a4608ca46f5f558a completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:19 a.m.