Triple

T14568839
Position Surface form Disambiguated ID Type / Status
Subject Middle Sabaic E341858 entity
Predicate subclassOf P1244 FINISHED
Object Sabaic E68213 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: Sabaic | Statement: [Middle Sabaic, subclassOf, Sabaic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabaic
Context triple: [Middle Sabaic, subclassOf, Sabaic]
  • A. Sabaic chosen
    Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
  • B. Sabaot
    Sabaot is a Southern Nilotic language spoken primarily by the Sabaot people in the Mount Elgon region of Kenya and Uganda.
  • C. Sabaot language
    The Sabaot language is a Nilotic language spoken by the Sabaot people of western Kenya and eastern Uganda, closely associated with the Kalenjin language cluster.
  • D. Basaa
    Basaa is a Bantu language spoken primarily by the Basaa people in Cameroon.
  • E. Abasa
    Abasa is the 80th chapter of the Qur'an, known for its admonition regarding a moment when the Prophet Muhammad frowned at a blind man seeking guidance.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac858108190b7c90130f18b0ddb completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.