Triple

T4141465
Position Surface form Disambiguated ID Type / Status
Subject Mount Kerinci E89279 entity
Predicate within P1393 FINISHED
Object Barisan Mountains 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: Barisan Mountains | Statement: [Mount Kerinci, within, Barisan Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barisan Mountains
Context triple: [Mount Kerinci, within, Barisan Mountains]
  • A. Barisan Mountains chosen
    The Barisan Mountains are a long volcanic mountain range forming the rugged backbone of the Indonesian island of Sumatra.
  • B. Sabine Mountains
    The Sabine Mountains are a rugged Apennine subrange in central Italy, historically associated with the ancient Sabine people and located northeast of Rome.
  • C. Verbeek Mountains
    The Verbeek Mountains are a mountain range located in the central region of Sulawesi, Indonesia, forming part of the island’s rugged interior highlands.
  • D. 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.
  • E. Martial Mountains
    The Martial Mountains are a rugged mountain range near Ushuaia in Tierra del Fuego, Argentina, known for their glaciers, hiking trails, and panoramic views over the Beagle Channel.
  • 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_69b57f2e787881908a9721877b0fd4ae completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.