Triple

T397713
Position Surface form Disambiguated ID Type / Status
Subject European Commission E9211 entity
Predicate alsoKnownAs P39 FINISHED
Object EC E6375 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: EC | Statement: [European Commission, alsoKnownAs, EC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EC
Context triple: [European Commission, alsoKnownAs, EC]
  • A. EC chosen
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • B. E
    The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
  • C. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • D. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • E. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad7ebec8190a0a4ee16b20cea57 completed March 1, 2026, 9:46 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.