Triple
T35613199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | federal public defender for the District of North Dakota |
E1029094
|
entity |
| Predicate | serviceCostToClients |
P5902
|
FINISHED |
| Object | no fee to eligible clients |
—
|
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: no fee to eligible clients | Statement: [federal public defender for the District of North Dakota, serviceCostToClients, no fee to eligible clients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceCostToClients Context triple: [federal public defender for the District of North Dakota, serviceCostToClients, no fee to eligible clients]
-
A.
costToUser
chosen
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
B.
supplyCost
Indicates the cost or expenditure required to supply or provide something from one entity to another.
-
C.
costModel
Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
-
D.
costModelTreatment
Indicates that a particular treatment is associated with or evaluated under a specific cost model.
-
E.
costsProvision
Indicates that providing a particular good, service, or resource requires incurring a specified cost.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:05 p.m.