Triple

T908069
Position Surface form Disambiguated ID Type / Status
Subject UNECA E19595 entity
Predicate abbreviation P43 FINISHED
Object ECA E15244 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: ECA | Statement: [UNECA, abbreviation, ECA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECA
Context triple: [UNECA, abbreviation, ECA]
  • A. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • B. ECA chosen
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • C. ECCAS
    ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
  • D. EAC
    The EAC (East African Community) is a regional intergovernmental organization that promotes economic integration and cooperation among several East African countries.
  • E. EAC
    EAC is a major warm ocean current flowing southward along the east coast of Australia, influencing the region’s climate and marine ecosystems.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cdc1788190a704809404f49986 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73b3a848190859df2eed9a21fc5 completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.