Triple

T6098987
Position Surface form Disambiguated ID Type / Status
Subject Uma language E135946 entity
Predicate alternateName P39 FINISHED
Object Pipikoro Uma E569527 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: Pipikoro Uma | Statement: [Uma language, alternateName, Pipikoro Uma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pipikoro Uma
Context triple: [Uma language, alternateName, Pipikoro Uma]
  • A. Pipikoro chosen
    Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
  • B. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • C. Ogakumonjo
    Ogakumonjo is a historic structure within Kyoto Imperial Palace, traditionally associated with imperial academic or archival functions in Japan’s former capital.
  • D. Pukumina
    Pukumina is a Jamaican Afro-Christian religious tradition blending African spiritual practices with Christian elements, known for spirit possession, drumming, and healing rituals.
  • E. Chigorodó
    Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1358d0e18819084e2acb9e75271b4 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:13 p.m.