Triple

T7154519
Position Surface form Disambiguated ID Type / Status
Subject RTE E166776 entity
Predicate shortName P43 FINISHED
Object RTE E166776 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: RTE | Statement: [RTE, shortName, RTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTE
Context triple: [RTE, shortName, RTE]
  • A. RTE chosen
    RTE is the French transmission system operator responsible for managing and operating France’s high-voltage electricity grid.
  • B. RTÉ
    RTÉ is Ireland’s national public service broadcaster, providing television, radio, and online media services.
  • C. Oireachtas TV
    Oireachtas TV is an Irish public service television channel that broadcasts live and recorded coverage of the proceedings of Ireland’s national parliament, the Oireachtas.
  • D. RTE Television Centre
    RTE Television Centre is the main broadcast and production complex of Ireland’s national television service, RTÉ, located in Donnybrook, Dublin.
  • E. TG4
    TG4 is an Irish-language public service television channel broadcasting a mix of news, sport, entertainment, and cultural programming in Ireland.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80c747c8190a017a2b1c3e78a3f completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:46 p.m.