Triple

T14839971
Position Surface form Disambiguated ID Type / Status
Subject Sagamu E348934 entity
Predicate isPartOf P10 FINISHED
Object Remo Division E303740 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: Remo Division | Statement: [Sagamu, isPartOf, Remo Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remo Division
Context triple: [Sagamu, isPartOf, Remo Division]
  • A. Remo chosen
    Remo is a prominent Yoruba sub-group in southwestern Nigeria, historically centered in present-day Ogun State and known for its rich cultural and political heritage.
  • B. Remo
    Remo is a popular Tamil romantic comedy film starring Sivakarthikeyan, known for its cross-dressing protagonist and commercially successful run.
  • C. Sakonnet band
    The Sakonnet band was a local group of the Wampanoag people who inhabited the Sakonnet region of what is now southeastern Rhode Island.
  • D. Champion Sound
    "Champion Sound" is a critically acclaimed hip-hop album by producer Madlib, created in collaboration with the late J Dilla under their duo name Jaylib.
  • E. Tusa
    Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:53 a.m.