Triple

T14731950
Position Surface form Disambiguated ID Type / Status
Subject Foreign Assistance Act of 1973 E346095 entity
Predicate setsConditionOn P56247 FINISHED
Object continuation of assistance based on recipient behavior LITERAL 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: continuation of assistance based on recipient behavior | Statement: [Foreign Assistance Act of 1973, setsConditionOn, continuation of assistance based on recipient behavior]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: setsConditionOn
Context triple: [Foreign Assistance Act of 1973, setsConditionOn, continuation of assistance based on recipient behavior]
  • A. containsCondition
    Indicates that one entity includes, embodies, or is associated with a particular condition.
  • B. definesConditionsFor chosen
    Indicates that one entity specifies or establishes the rules, requirements, or circumstances under which another entity is valid, applicable, or operates.
  • C. targetedCondition
    Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular condition.
  • D. hasCondition
    Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
  • E. cloneCondition
    Indicates that one entity is a duplicate or replication of another under the same specified conditions or parameters.
  • F. None of above.

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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:29 a.m.