Triple

T21929589
Position Surface form Disambiguated ID Type / Status
Subject Simalungun Regency E541532 entity
Predicate borders P224 FINISHED
Object Karo 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: Karo Regency | Statement: [Simalungun Regency, borders, Karo Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karo Regency
Context triple: [Simalungun Regency, borders, Karo Regency]
  • A. Karo Regency chosen
    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.
  • B. Malinau Regency
    Malinau Regency is an administrative region in northern Borneo known for its vast rainforest areas, rich indigenous Dayak cultures, and significant biodiversity.
  • C. Tebo Regency
    Tebo Regency is an administrative region in Jambi Province on the island of Sumatra, Indonesia.
  • D. Muna Regency
    Muna Regency is an administrative region in Southeast Sulawesi, Indonesia, that governs much of Muna Island and surrounding areas.
  • E. Natuna Regency
    Natuna Regency is an administrative region of Indonesia encompassing the remote Natuna Islands in the South China Sea, known for its strategic location and rich natural gas reserves.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fdd88081909dc7d4a05fb0ee35 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.