Triple

T2718602
Position Surface form Disambiguated ID Type / Status
Subject RP E60025 entity
Predicate comparedWith P278 FINISHED
Object General American E2045 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: General American | Statement: [RP, comparedWith, General American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General American
Context triple: [RP, comparedWith, General American]
  • A. American English chosen
    American English is the set of English language varieties spoken in the United States, characterized by distinctive pronunciation, vocabulary, and grammar compared to other forms of English.
  • B. American
    American refers to a person from or associated with the United States of America, typically holding its citizenship and sharing in its national culture and identity.
  • C. English American
    English American refers to a U.S. resident or citizen of English ancestry, whose heritage traces back to settlers and immigrants from England.
  • D. North American English
    North American English is the group of English dialects spoken primarily in the United States and Canada, characterized by distinct pronunciation, vocabulary, and spelling conventions.
  • E. AMERICAN
    AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaaee104819085966bc54d5da9c0 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68ebd0081908bb360872d559e1f completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.