Triple

T282967
Position Surface form Disambiguated ID Type / Status
Subject G77 E5828 entity
Predicate shortName P43 FINISHED
Object G77 E5828 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: G77 | Statement: [G77, shortName, G77]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G77
Context triple: [G77, shortName, G77]
  • A. G77 chosen
    The G77 is a coalition of developing nations within the United Nations that coordinates members’ economic interests and promotes collective negotiating power on global issues.
  • B. UN M49
    UN M49 is a United Nations standard that defines numeric codes for countries and geographical regions for statistical and analytical purposes.
  • C. ACP Group of States
    The ACP Group of States is an intergovernmental organization of African, Caribbean, and Pacific countries primarily focused on sustainable development and cooperation with the European Union.
  • D. G7
    G7 is an intergovernmental forum of seven major advanced economies that coordinates on global economic policy, security, and international issues.
  • E. United Nations Development Group
    The United Nations Development Group is a consortium of UN agencies that coordinates and supports global development efforts, particularly around poverty reduction, sustainable development, and capacity building in developing 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e0c14b48190a5c936bab36180b3 completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a3387b1c81909740dfe735efb399 completed March 1, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.