Triple
T21616576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemper Project power plant |
E533457
|
entity |
| Predicate | receivedFederalSupportType |
P111158
|
FINISHED |
| Object | clean coal demonstration funding |
—
|
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: clean coal demonstration funding | Statement: [Kemper Project power plant, receivedFederalSupportType, clean coal demonstration funding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedFederalSupportType Context triple: [Kemper Project power plant, receivedFederalSupportType, clean coal demonstration funding]
-
A.
receivedFederalLoanGuarantees
Indicates that one entity has obtained a federal government guarantee backing a loan made to it by another entity.
-
B.
typeOfSubsidy
chosen
Indicates that one entity is a specific kind or category of subsidy in relation to another entity.
-
C.
wasStateSubsidized
Indicates that an entity received financial support or subsidies from a state or government authority.
-
D.
receivedSupportFrom
Indicates that one entity obtained help, resources, or backing from another entity.
-
E.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bab865081908bc7d7b1824415ac |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.