Triple

T5523060
Position Surface form Disambiguated ID Type / Status
Subject Corydon, Kentucky E144857 entity
Predicate hasCountryAbbreviation P58184 FINISHED
Object US E391540 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: US | Statement: [Corydon, Kentucky, hasCountryAbbreviation, US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US
Context triple: [Corydon, Kentucky, hasCountryAbbreviation, US]
  • A. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. US chosen
    The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
  • C. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • D. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
  • E. US
    The US, or United States, is a federal republic in North America composed of 50 states and known as one of the world’s largest economic and military powers.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f73cc8c8190a92a839c1ca804c7 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:34 p.m.