Triple

T17582342
Position Surface form Disambiguated ID Type / Status
Subject Sungai Penuh E428234 entity
Predicate locatedIn P40 FINISHED
Object Kerinci region 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 region | Statement: [Sungai Penuh, locatedIn, Kerinci region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerinci region
Context triple: [Sungai Penuh, locatedIn, Kerinci region]
  • 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. Meulaboh region
    The Meulaboh region is a coastal area in Aceh, Indonesia, historically significant as a center of resistance against Dutch colonial rule and associated with national hero Teuku Umar.
  • C. South Tapanuli Regency
    South Tapanuli Regency is an administrative region in North Sumatra, Indonesia, known as a cultural heartland of the Mandailing people and their language.
  • D. Tanjungpura
    Tanjungpura is a historical kingdom in western Borneo, often associated with early Malay and Dayak polities in the region.
  • E. South Sumatra
    South Sumatra is a province in the southern part of the Indonesian island of Sumatra, known for its capital Palembang and its rich natural resources and cultural heritage.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.