Triple

T4141434
Position Surface form Disambiguated ID Type / Status
Subject Mount Kerinci E89279 entity
Predicate mountainRange P648 FINISHED
Object Bukit Barisan E99875 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: Bukit Barisan | Statement: [Mount Kerinci, mountainRange, Bukit Barisan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukit Barisan
Context triple: [Mount Kerinci, mountainRange, Bukit Barisan]
  • A. Sarawat Mountains
    The Sarawat Mountains are a major mountain range in western Saudi Arabia, forming a rugged backbone along the Red Sea coast and influencing the climate and landscapes of the Arabian Peninsula.
  • B. Titiwangsa Mountains
    The Titiwangsa Mountains are the main mountain range forming the backbone of Peninsular Malaysia, running north–south and influencing the region’s climate and geography.
  • C. Tenasserim Hills
    Tenasserim Hills is a long mountain range forming a natural border between Myanmar and Thailand on the Indochinese Peninsula.
  • D. Barisan Mountains chosen
    The Barisan Mountains are a long volcanic mountain range forming the rugged backbone of the Indonesian island of Sumatra.
  • E. Kuramin Range
    Kuramin Range is a mountain range in Central Asia forming part of the natural boundary around the Ferghana Valley, spanning areas of present-day Uzbekistan and Tajikistan.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af024b8fe4819098e8f393474363c8 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576cff6c881909134804ba6f9876d completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.