Triple

T35197333
Position Surface form Disambiguated ID Type / Status
Subject SmartPay charge card program E1016297 entity
Predicate transactionScope P199604 FINISHED
Object official government business only 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: official government business only | Statement: [SmartPay charge card program, transactionScope, official government business only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transactionScope
Context triple: [SmartPay charge card program, transactionScope, official government business only]
  • A. reservationScope
    Indicates the extent or range within which a reservation applies or is valid.
  • B. modificationScope
    Indicates the extent or range within which a change, adjustment, or alteration applies to an entity or its attributes.
  • C. lockScope
    Indicates the extent or range within which a lock applies to resources or operations, defining what is protected by that locking action.
  • D. syncScope
    Indicates that two or more processes, threads, or operations are coordinated to occur within the same synchronization context or boundary.
  • E. trialScope
    Indicates that an action, condition, or rule applies only within the defined boundaries or context of a specific trial or experimental instance.
  • F. None of above. chosen

Provenance (4 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_69f76dde814c8190a71f60d514a424a4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff48199b1c8190bb05872f8a4f4673 completed May 9, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69ff4746b1cc8190854f70a124df7d04 completed May 9, 2026, 2:40 p.m.
PDg Predicate description generation batch_69ff4818bb288190b4a27576fad18e23 completed May 9, 2026, 2:43 p.m.
Created at: May 3, 2026, 4:02 p.m.