Triple

T21171111
Position Surface form Disambiguated ID Type / Status
Subject Kerinci language E521692 entity
Predicate spokenIn P2266 FINISHED
Object Kerinci Regency 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: Kerinci Regency | Statement: [Kerinci language, spokenIn, Kerinci Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerinci Regency
Context triple: [Kerinci language, spokenIn, Kerinci Regency]
  • A. Kerinci Regency chosen
    Kerinci Regency is an administrative region in Jambi Province on the island of Sumatra, Indonesia, known for its mountainous landscapes, tea plantations, and proximity to Mount Kerinci.
  • B. Tebo Regency
    Tebo Regency is an administrative region in Jambi Province on the island of Sumatra, Indonesia.
  • C. Karo Regency
    Karo Regency is an administrative region in North Sumatra, Indonesia, known as the homeland of the Karo Batak people and their distinctive language and culture.
  • D. Kapuas Hulu Regency
    Kapuas Hulu Regency is an inland administrative region in West Kalimantan, Indonesia, known for its extensive tropical rainforests, rich biodiversity, and role as the headwaters area of major rivers.
  • E. Dairi Regency
    Dairi Regency is an inland regency in North Sumatra, Indonesia, known for its highland terrain, coffee production, and proximity to Lake Toba.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72712893081908e394ccc7e0cbb53 completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.