Triple

T1984867
Position Surface form Disambiguated ID Type / Status
Subject Quadrennial Defense Review E43117 entity
Predicate shortName P43 FINISHED
Object QDR
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
 E223200 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: QDR | Statement: [Quadrennial Defense Review, shortName, QDR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QDR
Context triple: [Quadrennial Defense Review, shortName, QDR]
  • A. QAR
    QAR is the Qatari riyal, the official national currency used in the State of Qatar.
  • B. CDQ
    CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
  • C. DoQ
    DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
  • D. QRO
    QRO is the vehicle registration code used on license plates for the Mexican state of Querétaro.
  • E. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • 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: QDR
Triple: [Quadrennial Defense Review, shortName, QDR]
Generated description
QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QDR
Target entity description: QDR is a major U.S. Department of Defense strategic review conducted every four years to assess and guide long-term defense priorities, capabilities, and force structure.
  • A. QAR
    QAR is the Qatari riyal, the official national currency used in the State of Qatar.
  • B. CDQ
    CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
  • C. DoQ
    DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
  • D. QRO
    QRO is the vehicle registration code used on license plates for the Mexican state of Querétaro.
  • E. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb821c2d48190abea6c89f37b51b1 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03301a2481909f6147482d490b90 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae04eb6c5c8190914fc35975400784 completed March 8, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69ae055df5ec8190ae39d938a8102b9d completed March 8, 2026, 11:25 p.m.
Created at: March 4, 2026, 7:37 p.m.