Triple

T23154355
Position Surface form Disambiguated ID Type / Status
Subject Eclipse Modeling Framework E578400 entity
Predicate basedOn P98 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: [Eclipse Modeling Framework, basedOn, MOF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOF
Context triple: [Eclipse Modeling Framework, basedOn, MOF]
  • A. MOF
    MOF is the commonly used abbreviation for Japan’s Ministry of Finance, the government body responsible for national fiscal and economic policy.
  • B. MOF chosen
    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. MOF
    MOF is the government ministry of South Korea responsible for managing the nation’s oceans, fisheries, and related maritime affairs.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efbe9a08190bcb6e822b8eab544 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.