Triple

T10247719
Position Surface form Disambiguated ID Type / Status
Subject CFA franc E240259 entity
Predicate hasSymbol P129 FINISHED
Object F CFA E519268 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: F CFA | Statement: [CFA franc, hasSymbol, F CFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F CFA
Context triple: [CFA franc, hasSymbol, F CFA]
  • A. CFA
    CFA is the abbreviation for Commander Field Army, the senior British Army officer responsible for commanding the Field Army’s operational forces.
  • B. CFA chosen
    CFA is the commonly used symbol for the West African CFA franc, a currency used by several West African countries.
  • C. CFA
    The CFA is the governing body responsible for overseeing and organizing football (soccer) activities and competitions in China.
  • D. CQF
    CQF is the IATA airport code for Calais–Dunkerque Airport in northern France.
  • E. CQF
    CQF (Cyclic Queuing and Forwarding) is a time-sensitive networking mechanism defined in IEEE 802.1Qch that provides deterministic, low-latency packet forwarding using cyclic transmission queues.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22e0d4c8190a6712859924e9d3d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7ade8448190830d950b7cee0c34 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:27 a.m.