Triple

T15423710
Position Surface form Disambiguated ID Type / Status
Subject Sharon Weston Broome E369449 entity
Predicate countryOfCitizenship P2 FINISHED
Object USA E585449 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: USA | Statement: [Sharon Weston Broome, countryOfCitizenship, USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA
Context triple: [Sharon Weston Broome, countryOfCitizenship, USA]
  • A. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • B. USA chosen
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • C. US
    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.
  • D. 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.
  • E. US
    The US, or United States of America, is a large federal republic in North America composed of 50 states and known as one of the world's leading 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec032548190840b558dde6057c7 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3651518c8190a24d2aab58c3ac08 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:20 a.m.