Triple

T13762155
Position Surface form Disambiguated ID Type / Status
Subject Kara Darya E330638 entity
Predicate sourceLocation P40 FINISHED
Object Alay Range E940922 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: Alay Range | Statement: [Kara Darya, sourceLocation, Alay Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alay Range
Context triple: [Kara Darya, sourceLocation, Alay Range]
  • A. Trans-Alay Range chosen
    The Trans-Alay Range is a high mountain range in the Pamirs, straddling the border between Kyrgyzstan and Tajikistan and known for its towering glaciated peaks.
  • B. Pahvant Range
    Pahvant Range is a mountain range in central Utah known for its rugged terrain, volcanic features, and outdoor recreation opportunities.
  • C. 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.
  • D. Tahan Range
    The Tahan Range is a mountainous region in Peninsular Malaysia known for its rugged terrain, dense rainforest, and status as part of Taman Negara National Park.
  • E. 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.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06faed88190abc44e6256cb9301 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.