Triple

T12261897
Position Surface form Disambiguated ID Type / Status
Subject Western Pure Land E292243 entity
Predicate TibetanName P744 FINISHED
Object bde ba can
bde ba can is the Tibetan name for Sukhāvatī, the blissful Western Pure Land associated with the Buddha Amitābha in Mahāyāna Buddhism.
 E971114 NE FINISHED

How this triple was built (4 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: bde ba can | Statement: [Western Pure Land, TibetanName, bde ba can]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: bde ba can
Context triple: [Western Pure Land, TibetanName, bde ba can]
  • A. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • B. BADEA
    BADEA is a multilateral development finance institution established by Arab countries to support economic and social development projects across African nations.
  • C. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • D. BEB
    BEB is the IATA airport code for Benbecula Airport, which serves the island of Benbecula in Scotland’s Outer Hebrides.
  • E. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: bde ba can
Triple: [Western Pure Land, TibetanName, bde ba can]
Generated description
bde ba can is the Tibetan name for Sukhāvatī, the blissful Western Pure Land associated with the Buddha Amitābha in Mahāyāna Buddhism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: bde ba can
Target entity description: bde ba can is the Tibetan name for Sukhāvatī, the blissful Western Pure Land associated with the Buddha Amitābha in Mahāyāna Buddhism.
  • A. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • B. BADEA
    BADEA is a multilateral development finance institution established by Arab countries to support economic and social development projects across African nations.
  • C. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • D. BEB
    BEB is the IATA airport code for Benbecula Airport, which serves the island of Benbecula in Scotland’s Outer Hebrides.
  • E. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • F. None of above. chosen

Provenance (5 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_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f220554819088c0aa5706f44856 completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60f9f40f48190b60be483d1922b22 completed May 2, 2026, 2:52 p.m.
Created at: April 8, 2026, 9:52 p.m.