Triple

T796789
Position Surface form Disambiguated ID Type / Status
Subject Dubai World Cup E17039 entity
Predicate notableWinner P2766 FINISHED
Object Cigar E94888 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: Cigar | Statement: [Dubai World Cup, notableWinner, Cigar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigar
Context triple: [Dubai World Cup, notableWinner, Cigar]
  • A. Cigar chosen
    Cigar was a champion American Thoroughbred racehorse renowned for a 16-race winning streak and multiple major international victories in the mid-1990s.
  • B. Lucky Strike
    Lucky Strike is a historic American cigarette brand known for its distinctive packaging and long-standing presence in popular culture.
  • C. Dunhill
    Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
  • D. Joe Camel
    Joe Camel is a cartoon camel mascot used in controversial advertising campaigns to promote Camel cigarettes, widely criticized for appealing to underage audiences.
  • E. Smoke
    Smoke is a large-scale modern sculpture by American artist Tony Smith, renowned for its monumental geometric form and prominent installation at the Los Angeles County Museum of Art.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b172e88190a26d31c9075b81fb completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a689227bfc8190a4378f0093dca7ef completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:38 p.m.