Triple

T5817857
Position Surface form Disambiguated ID Type / Status
Subject Economic Development Administration E129030 entity
Predicate abbreviation P43 FINISHED
Object EDA E129030 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: EDA | Statement: [Economic Development Administration, abbreviation, EDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDA
Context triple: [Economic Development Administration, abbreviation, EDA]
  • A. EDA chosen
    EDA is a U.S. federal agency within the Department of Commerce that provides grants and technical assistance to support economic growth and job creation in distressed communities.
  • B. EDA
    EDA is the German-language abbreviation for Switzerland’s Federal Department of Foreign Affairs, which manages the country’s diplomatic relations and foreign policy.
  • C. ASIC
    ASIC is an international military forum that promotes interoperability and cooperation among the air and space forces of its member nations.
  • D. ASIC
    ASIC is Australia’s national corporate, markets, financial services and consumer credit regulator responsible for enforcing and administering the country’s company and financial services laws.
  • E. EEECS
    EEECS is the abbreviated name for the School of Electronics, Electrical Engineering and Computer Science, an academic unit focused on education and research in these engineering and computing disciplines.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e36cbc81908f1ef1a1a310674c completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.