Triple

T5438305
Position Surface form Disambiguated ID Type / Status
Subject XOF E122066 entity
Predicate currencySymbol P8009 FINISHED
Object CFA
CFA is the commonly used symbol for the West African CFA franc, a currency used by several West African countries.
 E519268 NE FINISHED

How this triple was built (4 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: CFA | Statement: [XOF, currencySymbol, CFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFA
Context triple: [XOF, currencySymbol, 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. 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.
  • C. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • D. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • E. CAF
    CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CFA
Triple: [XOF, currencySymbol, CFA]
Generated description
CFA is the commonly used symbol for the West African CFA franc, a currency used by several West African countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFA
Target entity description: CFA is the commonly used symbol for the West African CFA franc, a currency used by several West African countries.
  • 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. 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.
  • C. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • D. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • E. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • F. None of above. chosen

Provenance (5 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91bce47c8190b9fd23444e636cdd completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ad3a3d88190bacde12f515d9971 completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3ba6784081908b19717290b7ba3d completed March 22, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c1ad4d8819093aeb94f62eb1086 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:07 p.m.