Triple

T4135994
Position Surface form Disambiguated ID Type / Status
Subject Mardi Gras E85155 entity
Predicate competesWith P1375 FINISHED
Object Viva E196947 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: Viva | Statement: [Mardi Gras, competesWith, Viva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva
Context triple: [Mardi Gras, competesWith, Viva]
  • A. Viva chosen
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • B. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • C. Viva Fan
    Viva Fan is the frequent-flyer loyalty program of Mexican low-cost airline Viva Aerobus, offering members points, discounts, and travel-related benefits.
  • D. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • E. Ídolo del Astillero
    Ídolo del Astillero is the popular nickname of Ecuadorian football club Barcelona Sporting Club, reflecting its status as a beloved and historically successful team from the port city of Guayaquil.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0233009881909333375d597b58b6 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c75e5c8190acc4ee72cb574432 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.