Triple

T12721056
Position Surface form Disambiguated ID Type / Status
Subject Ikeji Ipetu E303983 entity
Predicate locatedInCulturalRegion P1968 FINISHED
Object Ijesha E62488 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: Ijesha | Statement: [Ikeji Ipetu, locatedInCulturalRegion, Ijesha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijesha
Context triple: [Ikeji Ipetu, locatedInCulturalRegion, Ijesha]
  • A. Ijesha chosen
    Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
  • B. Kejia
    Kejia is another name for the Hakka language, a Sinitic language spoken by the Hakka people across southern China and various overseas communities.
  • C. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • D. Ayuwa
    Ayuwa is an alternative name for the Iowa (Ioway) Native American tribe historically located in the central United States.
  • E. Assiah
    Assiah is the Kabbalistic world of action and material existence, representing the lowest of the four spiritual realms in Jewish mysticism.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb1ca1081909b2e9e70f6a497dd completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:24 p.m.