Triple
T21397000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrollment Act of 1863 |
E527811
|
entity |
| Predicate | commutationFeeAmount |
P143815
|
FINISHED |
| Object | 300 US dollars |
—
|
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: 300 US dollars | Statement: [Enrollment Act of 1863, commutationFeeAmount, 300 US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commutationFeeAmount Context triple: [Enrollment Act of 1863, commutationFeeAmount, 300 US dollars]
-
A.
fareCalculation
Indicates the process or method used to determine the monetary cost of a trip or service based on specified pricing rules and conditions.
-
B.
compartmentCharge
Indicates that a specified compartment is associated with a particular electrical charge or charge state.
-
C.
parkingFee
Indicates the monetary charge required for parking a vehicle in a given place or time period.
-
D.
fareCapping
Indicates a limit on the total amount a rider can be charged for fares over a set period, after which additional trips are free or discounted.
-
E.
tollCurrency
Indicates the type of currency in which a toll must be paid.
- F. None of above. chosen
Provenance (4 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b11a2aec8190a60e53b90d0823b1 |
completed | April 22, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:13 p.m.