Triple
T35406998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professional Services Schedule |
E1023384
|
entity |
| Predicate | benefitToAgencies |
P182940
|
FINISHED |
| Object | reduced procurement cycle time |
—
|
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: reduced procurement cycle time | Statement: [Professional Services Schedule, benefitToAgencies, reduced procurement cycle time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitToAgencies Context triple: [Professional Services Schedule, benefitToAgencies, reduced procurement cycle time]
-
A.
sectorBenefited
Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or entity.
-
B.
collaboratingAgencies
Indicates that multiple agencies are working together in a coordinated manner toward shared goals or activities.
-
C.
benefitsToProjects
Indicates that something provides advantages, improvements, or positive contributions to one or more projects.
-
D.
affectsBenefit
Indicates that one entity has an influence on, modifies, or determines the benefit or advantage received by another entity.
-
E.
benefitsArea
Indicates that one entity provides advantages, improvements, or positive effects to a specified area or region.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7956353fc8190a54e35f018f4171f |
completed | May 3, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.