Triple
T1459292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presto card |
E31472
|
entity |
| Predicate | allowsTransferDiscounts |
P19480
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Presto card, allowsTransferDiscounts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsTransferDiscounts Context triple: [Presto card, allowsTransferDiscounts, true]
-
A.
offersDiscountsOn
Indicates that one entity provides price reductions or special discount deals specifically applied to another entity or its associated items or services.
-
B.
supportsAgeDiscounts
Indicates that the subject entity offers or honors special pricing or discounts based on a person's age.
-
C.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
D.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
E.
hasFreeTransfer
chosen
Indicates that one entity allows or provides a transfer to another service, route, or segment without additional 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59c1c288190be08064f2d351b2b |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.