Triple

T16259866
Position Surface form Disambiguated ID Type / Status
Subject Karo E394725 entity
Predicate region P40 FINISHED
Object Karo Highlands E394723 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: Karo Highlands | Statement: [Karo, region, Karo Highlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karo Highlands
Context triple: [Karo, region, Karo Highlands]
  • A. Karo Highlands chosen
    Karo Highlands is a volcanic highland region in northern Sumatra, Indonesia, known for its cool climate, fertile soils, and predominantly Karo Batak population.
  • B. Chimbu Highlands
    The Chimbu Highlands are a rugged, mountainous region in central Papua New Guinea known for their steep valleys, high-altitude settlements, and diverse indigenous cultures.
  • C. Lindu highlands
    Lindu highlands is a mountainous region in Central Sulawesi, Indonesia, known for its upland landscapes, traditional communities, and inclusion within Lore Lindu National Park.
  • D. Abukuma Highlands
    The Abukuma Highlands are a mountainous upland region in northeastern Japan known for their rolling plateaus, river valleys, and rural landscapes.
  • E. Tanba highlands
    The Tanba Highlands are a mountainous region in central Honshu, Japan, known for their forested landscapes, rural scenery, and role as a watershed area for several major rivers.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c3082c8190a1c9f92b255fdbb6 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eee110c819088d99b80435ab70b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.