Triple

T17475394
Position Surface form Disambiguated ID Type / Status
Subject 29th Dáil E425524 entity
Predicate includedParty P6048 FINISHED
Object Green Party 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: Green Party | Statement: [29th Dáil, includedParty, Green Party]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Party
Context triple: [29th Dáil, includedParty, Green Party]
  • A. Green Party chosen
    The Green Party is an Irish political party that prioritizes environmental protection, social justice, and sustainable economic policies.
  • B. Green Party of the United States
    The Green Party of the United States is a left-wing political party emphasizing environmentalism, social justice, grassroots democracy, and nonviolence.
  • C. The Greens
    The Greens is the popular nickname of Maccabi Haifa F.C., a prominent Israeli football club known for its green team colors and success in domestic and European competitions.
  • D. The Greens
    The Greens is an Australian environmentalist and progressive political party that contests elections at both state and federal levels, including in Queensland.
  • E. The Greens
    The Greens is the popular nickname of Panathinaikos B.C., one of Greece’s most successful and storied professional basketball clubs.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bb7050819080e3873bcc8a950c completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.