Triple

T2921035
Position Surface form Disambiguated ID Type / Status
Subject Economic Cooperation Organization E78723 entity
Predicate abbreviation P43 FINISHED
Object ECO E78723 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: ECO | Statement: [Economic Cooperation Organization, abbreviation, ECO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECO
Context triple: [Economic Cooperation Organization, abbreviation, ECO]
  • A. ECO chosen
    ECO (Economic Cooperation Organization) is a regional intergovernmental organization that promotes economic, technical, and cultural cooperation among countries in Eurasia, particularly in Central and South Asia and the Middle East.
  • B. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • C. Ecolo
    Ecolo is a Belgian French- and German-speaking green political party known for its focus on environmentalism, social justice, and progressive policies.
  • D. ECOMIL
    ECOMIL was a West African regional peacekeeping force deployed to stabilize Liberia and support the end of the Second Liberian Civil War.
  • E. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a672f88190851e487dac18d43f completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056344ca48190b4d14dd2c1ac643d completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:54 p.m.