Triple

T9351197
Position Surface form Disambiguated ID Type / Status
Subject Perlis State Park E225021 entity
Predicate partOf P40 FINISHED
Object Nakawan Range E234977 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: Nakawan Range | Statement: [Perlis State Park, partOf, Nakawan Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakawan Range
Context triple: [Perlis State Park, partOf, Nakawan Range]
  • A. Nakawan Range chosen
    Nakawan Range is a limestone mountain range forming part of the natural border between Malaysia and Thailand, known for its karst landscapes and biodiversity.
  • B. Hakarimata Range
    Hakarimata Range is a forested mountain range in New Zealand known for its native bush, walking tracks, and panoramic views over the Waikato region.
  • C. Kiso Range
    The Kiso Range is a mountain range in central Japan, forming part of the Japanese Alps and known for its steep, forested peaks and scenic hiking routes.
  • D. Atharamura Range
    Atharamura Range is a prominent hill range in the Indian state of Tripura, known for its forested terrain and role in shaping the region’s landscape and climate.
  • E. Mograni Range
    Mograni Range is a mountain range in the Gloucester region of New South Wales, Australia, known for its rugged terrain and scenic rural landscapes.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9248c08190a7bb40feec2eb217 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e445c5308190be122215c92fd03d completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.