Triple

T8769
Position Surface form Disambiguated ID Type / Status
Subject Japan E174 entity
Predicate memberOf P10 FINISHED
Object G7 E342 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: G7 | Statement: [Japan, memberOf, G7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G7
Context triple: [Japan, memberOf, G7]
  • A. G7 chosen
    G7 is an intergovernmental forum of seven major advanced economies that coordinates on global economic policy, security, and international issues.
  • B. G20
    The G20 is an international forum of major advanced and emerging economies that meets to coordinate global economic policy, financial stability, and sustainable development.
  • C. NATO
    NATO is a political and military alliance of North American and European countries formed for collective defense and security cooperation.
  • D. United Nations
    The United Nations is an international organization founded in 1945 that brings together most of the world’s countries to promote peace, security, cooperation, and human rights.
  • E. OECD
    The OECD (Organisation for Economic Co-operation and Development) is an international organization of mostly high-income democracies that works to promote economic growth, trade, and policy coordination among its member countries.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a23ff1903c8190a7d1051b4795eecd completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248deaab88190952bad0998755baf completed Feb. 28, 2026, 1:46 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.