Triple

T3908958
Position Surface form Disambiguated ID Type / Status
Subject Taif E87275 entity
Predicate knownFor P22 FINISHED
Object Taif roses E14716 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: Taif roses | Statement: [Taif, knownFor, Taif roses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taif roses
Context triple: [Taif, knownFor, Taif roses]
  • A. Roses
    "Roses" is a soulful, introspective hip-hop track by Kanye West from his critically acclaimed album "Late Registration," reflecting on family, illness, and faith.
  • B. Roses
    "Roses" is a popular 2003 hip hop and R&B single by André 3000 of OutKast, known for its sharp storytelling, theatrical production, and memorable music video.
  • C. Rosa chosen
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • D. Rosa
    Rosa is a celebrated poem by Nikki Giovanni that honors civil rights icon Rosa Parks and reflects on the broader struggle for racial justice.
  • E. Rosa
    Rosa is the birth name of Linda Christian, a Mexican film actress known as the first "Bond girl" for her role in the 1954 television adaptation of Casino Royale.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.