Triple
T32925618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra zone D |
E842262
|
entity |
| Predicate | fareCalculationMethod |
P52748
|
FINISHED |
| Object | origin–destination zone pairing |
—
|
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: origin–destination zone pairing | Statement: [Metra zone D, fareCalculationMethod, origin–destination zone pairing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareCalculationMethod Context triple: [Metra zone D, fareCalculationMethod, origin–destination zone pairing]
-
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.
fareBasis
Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
-
C.
fareStructure
Indicates the pricing scheme or set of rules that determine how fares are calculated and applied for a given service or trip.
-
D.
fareType
Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
-
E.
fareModel
chosen
Indicates a pricing relationship where a specific fare structure, rule set, or calculation method is applied to determine the cost of a trip or service.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0da57ac81908b5fdbd8f44f8249 |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.