Triple

T8314559
Position Surface form Disambiguated ID Type / Status
Subject Trizone E194673 entity
Predicate nickname P55 FINISHED
Object Trizone E194673 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: Trizone | Statement: [Trizone, nickname, Trizone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trizone
Context triple: [Trizone, nickname, Trizone]
  • A. Trizone chosen
    Trizone was the informal name for the combined American, British, and French occupation zones in post-World War II Germany that later formed the Federal Republic of Germany (West Germany).
  • B. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • C. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • D. The Zone
    The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
  • E. Platinum Triangle
    The Platinum Triangle is an affluent area on Los Angeles' Westside known for encompassing the exclusive neighborhoods of Bel Air, Beverly Hills, and Holmby Hills.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f52c5cc8190b5a95ee0aa4ddda5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9583fa8081909778288f4c96de72 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:55 p.m.