Triple
T13106617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAS Program |
E310858
|
entity |
| Predicate | procures |
P86552
|
FINISHED |
| Object | commercial 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 products | Statement: [MAS Program, procures, commercial products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: procures Context triple: [MAS Program, procures, commercial products]
-
A.
obtains
Indicates that one entity comes into possession or control of another entity, typically through some action or process.
-
B.
procurementProgram
Indicates a relationship where an entity is involved in organizing, managing, or participating in a structured process for acquiring goods, services, or resources.
-
C.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
D.
buys
chosen
Indicates that one entity purchases or acquires something from another entity, typically in exchange for money or other compensation.
-
E.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:05 p.m.