Triple

T10996257
Position Surface form Disambiguated ID Type / Status
Subject Public Law 95-523 E259876 entity
Predicate typeOfGoal P72446 FINISHED
Object nonbinding economic targets 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: nonbinding economic targets | Statement: [Public Law 95-523, typeOfGoal, nonbinding economic targets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfGoal
Context triple: [Public Law 95-523, typeOfGoal, nonbinding economic targets]
  • A. goalType chosen
    Indicates the specific category or nature of a goal associated with an entity or action.
  • B. directGoalType
    Indicates that one entity serves as the immediate or primary goal type that another entity is directly aiming to achieve or realize.
  • C. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • D. goals
    Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
  • E. goalDescription
    Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d6572c8190a47d68483863ad7a completed April 9, 2026, 12:04 p.m.
PD Predicate disambiguation batch_69d72e93ac648190b46c5d12bf3eb1e9 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:24 p.m.