Triple

T17268281
Position Surface form Disambiguated ID Type / Status
Subject Mapanji Jayashakti E419185 entity
Predicate residence P75 FINISHED
Object Kahuripan NE NERFINISHED

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: Kahuripan | Statement: [Mapanji Jayashakti, residence, Kahuripan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kahuripan
Context triple: [Mapanji Jayashakti, residence, Kahuripan]
  • A. Kahuripan chosen
    Kahuripan was an early 11th-century Javanese kingdom in eastern Java that emerged after the fall of the Medang Kingdom and laid the groundwork for later states like Kediri.
  • B. Kwararafa
    Kwararafa was a historical multi-ethnic confederation and powerful kingdom in what is now central Nigeria, known for its military campaigns and interactions with neighboring Hausa states.
  • C. Kükita
    Kükita is a small settlement located in Järva County in central Estonia.
  • D. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • E. Parukotoan
    Parukotoan is a small South American indigenous language subgroup that includes languages such as Wayana, spoken primarily in the Guiana region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4683c4819083a210255662136c completed April 19, 2026, 1:26 a.m.
Created at: April 10, 2026, 5:40 a.m.