Triple
T35406824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governmentwide Acquisition Contracts |
E1023381
|
entity |
| Predicate | awardStructure |
P194824
|
FINISHED |
| Object | multiple award to several vendors |
—
|
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: multiple award to several vendors | Statement: [Governmentwide Acquisition Contracts, awardStructure, multiple award to several vendors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardStructure Context triple: [Governmentwide Acquisition Contracts, awardStructure, multiple award to several vendors]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
-
C.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
D.
awardName
Indicates the specific name or title of an award associated with an entity.
-
E.
awardForm
Indicates that one entity is the specific form, type, or category of an award associated with another entity.
- 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_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: May 3, 2026, 4:03 p.m.