Triple

T7696620
Position Surface form Disambiguated ID Type / Status
Subject Bank of Thailand E174385 entity
Predicate setsPolicyRate P78337 FINISHED
Object BOT policy rate LITERAL 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: BOT policy rate | Statement: [Bank of Thailand, setsPolicyRate, BOT policy rate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: setsPolicyRate
Context triple: [Bank of Thailand, setsPolicyRate, BOT policy rate]
  • A. usesPolicyRate
    Indicates that one entity applies or bases its actions or decisions on a specified policy interest rate.
  • B. feePolicy
    Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
  • C. settlementPolicy
    Indicates the rules or arrangements governing how and when obligations, transactions, or disputes between parties are finalized and settled.
  • D. rechargeRate
    Indicates the rate or speed at which something restores or replenishes its capacity, energy, or resources over time.
  • E. changePolicy
    Indicates that an entity modifies, replaces, or updates an existing policy governing rules, procedures, or behaviors.
  • F. None of above. chosen

Provenance (4 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70402169481909b219dc5f4a64b9b completed March 27, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69c70165e78c8190bf6b3c34e243cb81 completed March 27, 2026, 10:15 p.m.
PDg Predicate description generation batch_69c7040091608190a9e46ecfb2ff0bca completed March 27, 2026, 10:26 p.m.
Created at: March 27, 2026, 4:03 p.m.