Triple

T3095046
Position Surface form Disambiguated ID Type / Status
Subject EEC E64573 entity
Predicate abbreviation P43 FINISHED
Object EEC E41751 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: EEC | Statement: [EEC, abbreviation, EEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EEC
Context triple: [EEC, abbreviation, EEC]
  • A. EEC chosen
    The EEC was a regional organization founded in 1957 to foster economic integration among its European member states and is a key precursor to the modern European Union.
  • B. EEC
    EEC is the Massachusetts state agency responsible for overseeing early education and child care programs, licensing providers, and supporting young children’s development and learning.
  • C. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • D. ECA
    The ECA is the European Union institution responsible for auditing the EU’s finances and ensuring that its budget is correctly implemented.
  • E. 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.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada239a8c88190a746892b56ee7e02 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20370aba48190a31ec25bca0a4727 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.