Triple

T27534973
Position Surface form Disambiguated ID Type / Status
Subject Wright Patman Bonus Bill E695071 entity
Predicate targetGroupStatus P10541 FINISHED
Object honorably discharged World War I veterans 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: honorably discharged World War I veterans | Statement: [Wright Patman Bonus Bill, targetGroupStatus, honorably discharged World War I veterans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetGroupStatus
Context triple: [Wright Patman Bonus Bill, targetGroupStatus, honorably discharged World War I veterans]
  • A. targetsStatus
    Indicates that one entity directs its actions or focus toward another entity based on the latter’s current status or condition.
  • B. statusGroup
    Indicates a classification relationship where an entity is assigned to or associated with a particular status category or group.
  • C. targetsGroup chosen
    Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
  • D. hasGroupStatus
    Indicates that an entity possesses a particular status, role, or condition within a group or collective context.
  • E. statusOfTarget
    Indicates the current condition, state, or situation of the specified target entity.
  • 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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f71f8ee0688190bd025f27993452d3 completed May 3, 2026, 10:12 a.m.
PD Predicate disambiguation batch_69f71cc405c08190863565609a4c8499 completed May 3, 2026, 10 a.m.
Created at: April 27, 2026, 1:28 p.m.