Triple

T27540066
Position Surface form Disambiguated ID Type / Status
Subject CSTC-A E695209 entity
Predicate usedFundingSource P159409 FINISHED
Object Afghanistan Security Forces Fund
The Afghanistan Security Forces Fund is a U.S. appropriated funding mechanism used to train, equip, and sustain the Afghan National Defense and Security Forces.
 E1777212 NE FINISHED

How this triple was built (3 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: Afghanistan Security Forces Fund | Statement: [CSTC-A, usedFundingSource, Afghanistan Security Forces Fund]
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: Afghanistan Security Forces Fund
Triple: [CSTC-A, usedFundingSource, Afghanistan Security Forces Fund]
Generated description
The Afghanistan Security Forces Fund is a U.S. appropriated funding mechanism used to train, equip, and sustain the Afghan National Defense and Security Forces.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usedFundingSource
Context triple: [CSTC-A, usedFundingSource, Afghanistan Security Forces Fund]
  • A. usedFundingFrom chosen
    Indicates that one entity utilized financial resources that originated from another entity.
  • B. usedFund
    Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
  • C. usedFundingMethods
    Indicates that an entity employed specific funding methods to finance an activity, project, or operation.
  • D. usedFeederFunds
    Indicates that an entity employed feeder funds as intermediary investment vehicles to channel capital into another fund or investment structure.
  • E. creditsUse
    Indicates that one entity uses or relies on credits (such as credit units, credit lines, or credit-based resources) provided or available to it.
  • F. None of above.

Provenance (6 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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5bf1f2881909e749c3c07fee7df completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c62aaa608190b9dfd46976f72690 completed May 24, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6c3a8fc819083942c89ff00352b completed May 24, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 27, 2026, 1:30 p.m.