Triple

T7847319
Position Surface form Disambiguated ID Type / Status
Subject HITECH Act E181954 entity
Predicate providesIncentivesTo P79344 FINISHED
Object eligible professionals 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: eligible professionals | Statement: [HITECH Act, providesIncentivesTo, eligible professionals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesIncentivesTo
Context triple: [HITECH Act, providesIncentivesTo, eligible professionals]
  • A. typeOfIncentive
    Indicates the specific kind or category of incentive associated with an entity or action.
  • B. ownerIncentive
    Indicates that an owner has a motivation, benefit, or reward associated with a particular entity, action, or outcome.
  • C. stateIncentives
    Indicates that a state government provides benefits, subsidies, or other inducements to encourage a particular action, behavior, or investment.
  • D. loyaltyIncentive
    Indicates a relationship where benefits or rewards are provided to encourage or recognize continued commitment or repeat engagement.
  • E. settlementEncouragedBy
    Indicates that the establishment or growth of a settlement is promoted, supported, or stimulated by a particular factor, agent, or condition.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb164105fc8190a60aaa27dd619d5a completed March 31, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69cae92180f88190ae3d44c3de7adc93 completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf786ec748190b6347b0c94335550 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:49 p.m.