Triple
T29684044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Good Repair Grants |
E751034
|
entity |
| Predicate | doesNotFund |
P25443
|
FINISHED |
| Object | operating expenses |
—
|
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: operating expenses | Statement: [State of Good Repair Grants, doesNotFund, operating expenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotFund Context triple: [State of Good Repair Grants, doesNotFund, operating expenses]
-
A.
notFundedBy
chosen
Indicates that one entity does not receive financial support, backing, or funding from another entity.
-
B.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
C.
doesNotHave
Indicates that one entity lacks, is missing, or is not in possession of another entity or attribute.
-
D.
doesNotSponsor
Indicates that one entity does not provide sponsorship or support to another entity.
-
E.
doesNotProvideFor
Indicates that one entity fails or is not responsible for supplying support, resources, or necessary provisions to another entity.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 7:12 p.m.