Triple

T13786335
Position Surface form Disambiguated ID Type / Status
Subject Empowerment Zones and Enterprise Communities program E331266 entity
Predicate targetedByCriterion P31662 FINISHED
Object poverty rate 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: poverty rate | Statement: [Empowerment Zones and Enterprise Communities program, targetedByCriterion, poverty rate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetedByCriterion
Context triple: [Empowerment Zones and Enterprise Communities program, targetedByCriterion, poverty rate]
  • A. targetedByPolicy
    Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
  • B. targetedCondition chosen
    Indicates that an action, intervention, or entity is specifically directed toward affecting, treating, or addressing a particular condition.
  • C. targetedBecauseOf
    Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
  • D. aimedAtBy
    Indicates that one entity serves as the target or goal toward which another entity directs an action, intention, or focus.
  • E. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0248db988190aa43c3723af25f90 completed April 14, 2026, 9 a.m.
PD Predicate disambiguation batch_69dbc85fb600819098a2aab48169be96 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:11 p.m.