Triple

T3969752
Position Surface form Disambiguated ID Type / Status
Subject 88NV E92299 entity
Predicate serves P98 FINISHED
Object Burning Man E93276 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: Burning Man | Statement: [88NV, serves, Burning Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burning Man
Context triple: [88NV, serves, Burning Man]
  • A. Burning Man Project chosen
    Burning Man Project is the nonprofit organization that oversees and stewards the annual Burning Man event and its broader global arts and community initiatives.
  • B. Polyfest
    Polyfest is a major annual secondary schools cultural festival in Auckland, New Zealand, celebrating Pacific Island and Māori performing arts and heritage.
  • C. Coachella
    Coachella is a city in Riverside County, California, best known as the namesake of the Coachella Valley and for its association with the nearby world-famous Coachella Valley Music and Arts Festival.
  • D. Black Rock City
    Black Rock City is a temporary, purpose-built city in Nevada’s Black Rock Desert that serves as the site of the annual Burning Man festival.
  • E. Electric Daisy Carnival
    Electric Daisy Carnival is a massive annual electronic dance music festival known for its elaborate stages, carnival attractions, and immersive audiovisual production.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9942c908190aface17a4e8d356d completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54006b5e48190973e30055a0893a5 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.