Triple

T5177438
Position Surface form Disambiguated ID Type / Status
Subject Murovdag Peak E116834 entity
Predicate locatedIn P40 FINISHED
Object Murovdag Range E116834 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: Murovdag Range | Statement: [Murovdag Peak, locatedIn, Murovdag Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murovdag Range
Context triple: [Murovdag Peak, locatedIn, Murovdag Range]
  • A. Murovdag Range chosen
    Murovdag Range is a prominent mountain range in the Lesser Caucasus, known for its high peaks and strategic location in the South Caucasus region.
  • B. 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.
  • C. Yengisogat Range
    Yengisogat Range is a subrange of the Karakoram mountains in the Xinjiang region of China, known for its high, glaciated peaks.
  • 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. Nakawan Range
    Nakawan Range is a limestone mountain range forming part of the natural border between Malaysia and Thailand, known for its karst landscapes and biodiversity.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7974a5308190819b100e07189131 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed95185ac819085fb42a69e014ec5 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.