Triple

T21800729
Position Surface form Disambiguated ID Type / Status
Subject Gaimu-shō E538231 entity
Predicate shortName P43 FINISHED
Object MOFA Japan 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: MOFA Japan | Statement: [Gaimu-shō, shortName, MOFA Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOFA Japan
Context triple: [Gaimu-shō, shortName, MOFA Japan]
  • A. MOFA Japan chosen
    MOFA Japan is Japan’s government ministry responsible for managing the country’s foreign relations, diplomacy, and international cooperation.
  • B. MOF Japan
    MOF Japan is the Ministry of Finance of Japan, the government agency responsible for national fiscal policy, budgeting, taxation, and public finance management.
  • C. MOFA
    MOFA is the government ministry responsible for managing the United Arab Emirates’ foreign relations, diplomacy, and international cooperation.
  • D. MOFA
    MOFA is the Ministry of Foreign Affairs of Taiwan, responsible for managing the country's diplomatic relations and international affairs.
  • E. MOFA
    MOFA is the commonly used abbreviation for Israel's Ministry of Foreign Affairs, the government body responsible for managing the country's international relations and diplomacy.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f077fede848190b8fe07941d6573d9 completed April 28, 2026, 9:03 a.m.
Created at: April 16, 2026, 6:53 p.m.