Triple
T35407052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schedule for Industrial Products and Services |
E1023385
|
entity |
| Predicate | procurementVehicleFor |
P183286
|
FINISHED |
| Object | commercial off-the-shelf industrial products |
—
|
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: commercial off-the-shelf industrial products | Statement: [Schedule for Industrial Products and Services, procurementVehicleFor, commercial off-the-shelf industrial products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: procurementVehicleFor Context triple: [Schedule for Industrial Products and Services, procurementVehicleFor, commercial off-the-shelf industrial products]
-
A.
vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for another entity.
-
B.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
C.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
-
D.
vahanaOf
Indicates that one entity serves as the vehicle, mount, or means of transportation for another entity.
-
E.
vehicleBase
Indicates that one entity serves as the foundational or underlying base for a vehicle-related entity or system.
- 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.