Triple

T2913642
Position Surface form Disambiguated ID Type / Status
Subject cloud.gov platform E63743 entity
Predicate developedBy P73 FINISHED
Object 18F E63723 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: 18F | Statement: [cloud.gov platform, developedBy, 18F]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 18F
Context triple: [cloud.gov platform, developedBy, 18F]
  • A. 18F chosen
    18F is a digital services agency within the U.S. federal government that helps agencies design, build, and improve public-facing technology and services.
  • B. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • C. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • D. F82
    F82 is the pennant number assigned to HMS Sikh, a British Royal Navy Tribal-class destroyer that served during the Second World War.
  • E. F-1
    The F-1 was a powerful American liquid-fueled rocket engine used on the Saturn V launch vehicle to propel Apollo missions toward the Moon.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0ecaba48190a8e22c74a111fded completed March 7, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.