Triple

T1007333
Position Surface form Disambiguated ID Type / Status
Subject Minangkabau E21743 entity
Predicate traditionalHomeland P2102 FINISHED
Object Bukit Barisan range 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 range | Statement: [Minangkabau, traditionalHomeland, Bukit Barisan range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukit Barisan range
Context triple: [Minangkabau, traditionalHomeland, Bukit Barisan range]
  • A. Barisan Mountains chosen
    The Barisan Mountains are a long volcanic mountain range forming the rugged backbone of the Indonesian island of Sumatra.
  • B. Somkheti Range
    Somkheti Range is a mountain range forming part of the Lesser Caucasus system in the South Caucasus region.
  • C. Murovdag Range
    Murovdag Range is a prominent mountain range in the Lesser Caucasus, known for its high peaks and strategic location in the South Caucasus region.
  • D. Egrisi Range
    The Egrisi Range is a mountain range in western Georgia known for its forested slopes, deep river gorges, and role as a natural barrier between the Black Sea coastal lowlands and the interior.
  • E. Alay Mountains
    The Alay Mountains are a major mountain range in Central Asia, forming part of the Pamir-Alay system and stretching across Kyrgyzstan and Tajikistan with high peaks and glaciated terrain.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7570b388190ada9693935792a58 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a21034081908ce6eb7d9827aba2 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.