Triple
T20202103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route |
E493246
|
entity |
| Predicate | mayAlsoBeFundedBy |
P37672
|
FINISHED |
| Object | federal aid programs |
—
|
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: federal aid programs | Statement: [State Route, mayAlsoBeFundedBy, federal aid programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayAlsoBeFundedBy Context triple: [State Route, mayAlsoBeFundedBy, federal aid programs]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
possibleAdditionalFunding
chosen
Indicates that there is a potential for securing or providing further financial resources beyond what has already been allocated or committed.
-
C.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
D.
notFundedBy
Indicates that one entity does not receive financial support, backing, or funding from another entity.
-
E.
publiclyFunded
Indicates that the entity receives financial support from public sources such as government budgets or taxpayer funds.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8e0df481909c030e2a01d1862a |
completed | April 20, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.