Triple

T19140383
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Finance (Japan) E468539 entity
Predicate shortName P43 FINISHED
Object MOF NE NERFINISHED

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: MOF | Statement: [Ministry of Finance (Japan), shortName, MOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOF
Context triple: [Ministry of Finance (Japan), shortName, MOF]
  • A. MOF chosen
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • B. MOF
    MOF (Meta-Object Facility) is a standard framework defined by the Object Management Group for specifying, constructing, and managing technology-neutral metamodels in model-driven engineering.
  • C. MOF
    MOF is the central government agency of the People's Republic of China responsible for national fiscal policy, public budgeting, and management of state financial resources.
  • D. MOF
    MOF is the government ministry in Taiwan responsible for national fiscal policy, taxation, and public finance management.
  • E. MFO
    MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3f094f88190996279d7b548edea completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.