Triple

T20776647
Position Surface form Disambiguated ID Type / Status
Subject APEC Economic Committee E511371 entity
Predicate abbreviation P43 FINISHED
Object EC NE NERFINISHED

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: EC | Statement: [APEC Economic Committee, abbreviation, EC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC
Context triple: [APEC Economic Committee, abbreviation, EC]
  • A. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. EC chosen
    EC is the abbreviation for the APEC Economic Committee, a body that supports economic policy research and cooperation among APEC member economies.
  • C. EC
    EC is the commonly used abbreviation for the World Meteorological Organization’s Executive Council, its principal governing body responsible for coordinating international meteorological activities and policies.
  • D. EC
    EC is the standard abbreviation for EuroCity, a network of international express passenger trains operating across various European countries.
  • E. EC
    EC is the commonly used abbreviation for the Election Commission of Bangladesh, the constitutional body responsible for overseeing and conducting elections in the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26bbe108190bb7c3e5b416e44fe completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.