Triple

T31809738
Position Surface form Disambiguated ID Type / Status
Subject Texas Enterprise Zone Program E811969 entity
Predicate economicDistressCriteria P24789 FINISHED
Object high unemployment 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: high unemployment | Statement: [Texas Enterprise Zone Program, economicDistressCriteria, high unemployment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicDistressCriteria
Context triple: [Texas Enterprise Zone Program, economicDistressCriteria, high unemployment]
  • A. economicStatus
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • B. incomeRequirement
    Indicates that a certain minimum level or range of income is required for an entity to qualify for or participate in something.
  • C. hasEconomicChallenge chosen
    Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
  • D. incomeLimit
    Indicates a specified maximum income threshold that must not be exceeded for a condition, eligibility, or rule to apply.
  • E. hasSocioeconomicIssue
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • 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_69f348e846c081908eb468a0665afd55 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
Created at: April 30, 2026, 11:43 p.m.