Triple

T35407001
Position Surface form Disambiguated ID Type / Status
Subject Professional Services Schedule E1023384 entity
Predicate benefitToContractors P487 FINISHED
Object long-term government-wide contract 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: long-term government-wide contract | Statement: [Professional Services Schedule, benefitToContractors, long-term government-wide contract]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitToContractors
Context triple: [Professional Services Schedule, benefitToContractors, long-term government-wide contract]
  • A. contractingAdvantage
    Indicates that one party has a favorable position, benefit, or leverage over another in the process of forming or negotiating a contract.
  • B. sectorBenefited
    Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or entity.
  • C. benefitToAgencies
    Indicates that something provides an advantage, value, or positive impact specifically to agencies.
  • D. benefitsToOwners
    Indicates that something provides advantages, gains, or positive outcomes specifically to its owners.
  • E. benefits chosen
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • 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_69f76df43ca4819098711ca4370f1bb9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:03 p.m.