Triple

T7586070
Position Surface form Disambiguated ID Type / Status
Subject Drinking Water State Revolving Fund Program E179614 entity
Predicate priorityCriterion P68004 FINISHED
Object public health risk reduction 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: public health risk reduction | Statement: [Drinking Water State Revolving Fund Program, priorityCriterion, public health risk reduction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: priorityCriterion
Context triple: [Drinking Water State Revolving Fund Program, priorityCriterion, public health risk reduction]
  • A. primaryCriterion
    Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
  • B. prioritises chosen
    Indicates that one entity gives greater importance, preference, or precedence to another entity or task over alternatives.
  • C. planningPriority
    Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
  • D. limitsPriorityOf
    Indicates that one entity imposes a maximum allowable priority level on another entity’s priority.
  • E. typeOfPriority
    Indicates the specific priority level or category assigned to something relative to other items or tasks.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f995c8a8819089817bd679640017 completed March 27, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69c6f4e04c2c8190a889d928515d9b8e completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:52 p.m.