Triple

T8179038
Position Surface form Disambiguated ID Type / Status
Subject New Zealand National Party E191011 entity
Predicate abbreviation P43 FINISHED
Object National E191011 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: National | Statement: [New Zealand National Party, abbreviation, National]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National
Context triple: [New Zealand National Party, abbreviation, National]
  • A. National chosen
    National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
  • B. National
    National is a Japanese electronics and home appliance brand historically used by Panasonic for a wide range of consumer products, especially in Asian markets.
  • C. Nacional
    Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
  • D. Nacional
    Nacional is a prominent Uruguayan football club based in Montevideo, known as one of the country's most successful and historic teams.
  • E. Nacional
    Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abd9768819091298e4dd995ac96 completed March 31, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced6fd33081909512adbe559b2c7a completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:40 p.m.