Triple
T35407006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professional Services Schedule |
E1023384
|
entity |
| Predicate | orderingGuidance |
P183285
|
FINISHED |
| Object | GSA MAS ordering procedures |
—
|
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: GSA MAS ordering procedures | Statement: [Professional Services Schedule, orderingGuidance, GSA MAS ordering procedures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderingGuidance Context triple: [Professional Services Schedule, orderingGuidance, GSA MAS ordering procedures]
-
A.
orderHandling
Indicates how an order is processed, managed, or fulfilled from initiation through completion.
-
B.
orderingType
Indicates the specific method or arrangement by which items, events, or entities are ordered or sequenced relative to one another.
-
C.
orderDisplayed
Indicates that a particular order is currently being shown or presented in a user interface or display context.
-
D.
order
Indicates that one entity requests, arranges, or directs that another entity provide a good, service, or action, typically in a specified sequence or priority.
-
E.
orderWithin
Indicates that one entity is positioned or ranked before or after another entity within a defined sequence or ordering.
- 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_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:03 p.m.