Triple

T4333247
Position Surface form Disambiguated ID Type / Status
Subject Chief of the Defence Force E97402 entity
Predicate shortName P43 FINISHED
Object CDF
CDF is the commonly used abbreviation for the Chief of the Defence Force, the professional head of a nation's armed forces.
 E431968 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: CDF | Statement: [Chief of the Defence Force, shortName, CDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CDF
Context triple: [Chief of the Defence Force, shortName, CDF]
  • A. CDF
    CDF is the National Rail station code for Cardiff Central railway station, a major transport hub in Cardiff, Wales.
  • B. CDF
    CDF (Collider Detector at Fermilab) was a major particle physics experiment at the Tevatron collider that made key discoveries about the top quark and precision measurements of the Standard Model.
  • C. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • D. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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: CDF
Triple: [Chief of the Defence Force, shortName, CDF]
Generated description
CDF is the commonly used abbreviation for the Chief of the Defence Force, the professional head of a nation's armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CDF
Target entity description: CDF is the commonly used abbreviation for the Chief of the Defence Force, the professional head of a nation's armed forces.
  • A. CDF
    CDF is the National Rail station code for Cardiff Central railway station, a major transport hub in Cardiff, Wales.
  • B. CDF
    CDF (Collider Detector at Fermilab) was a major particle physics experiment at the Tevatron collider that made key discoveries about the top quark and precision measurements of the Standard Model.
  • C. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • D. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • E. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514faaac819081475681fd10da24 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a634308190ba4d8c8dc07814ae completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d47416fc8190b8a177cbdcc23399 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4e5e24c8190980bc545ca0d339d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.