Triple

T7778919
Position Surface form Disambiguated ID Type / Status
Subject Bank of Korea E221465 entity
Predicate abbreviation P43 FINISHED
Object BOK E221465 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: BOK | Statement: [Bank of Korea, abbreviation, BOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOK
Context triple: [Bank of Korea, abbreviation, BOK]
  • A. BOK chosen
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • B. BOK
    BOK is the station code for Berlin Ostkreuz, a major railway interchange in Berlin, Germany.
  • C. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • D. Bokn
    Bokn is a small island municipality in southwestern Norway known for its coastal landscape and location in Rogaland county.
  • E. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d59bf881909a8b2d57748784b1 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5af0a6c819091f43ac7eda2065e completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:18 p.m.