Triple

T12261891
Position Surface form Disambiguated ID Type / Status
Subject Western Pure Land E292243 entity
Predicate contrastedWith P278 FINISHED
Object Saha world E971112 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: Saha world | Statement: [Western Pure Land, contrastedWith, Saha world]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saha world
Context triple: [Western Pure Land, contrastedWith, Saha world]
  • A. Saha World chosen
    Saha World is the Buddhist term for our imperfect, suffering-filled world of endurance, often contrasted with the pure land of Sukhāvatī.
  • B. Saharias
    Saharias are an indigenous tribal community of central India, traditionally known as forest dwellers and laborers with distinct cultural practices and socio-economic challenges.
  • C. Saha
    Saha is a surname most notably associated with Indian astrophysicist Meghnad Saha, known for the Saha ionization equation in stellar astrophysics.
  • D. Saha
    Saha is a small town in the Ambala district of the northern Indian state of Haryana, known primarily as a local commercial and transport hub for surrounding rural areas.
  • E. Mahaprithibi
    Mahaprithibi is a celebrated Bengali poetry collection by Jibanananda Das that reflects his modernist style and introspective, evocative imagery.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdb0a948190aeee4ca3c01f801e completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e65bc00819091e4fee3c3af6f4f completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.