Triple
T11902161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorndale station (Chicago "L") |
E283177
|
entity |
| Predicate | usesPaymentMedium |
P46101
|
FINISHED |
| Object | contactless smart card |
—
|
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: contactless smart card | Statement: [Thorndale station (Chicago "L"), usesPaymentMedium, contactless smart card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPaymentMedium Context triple: [Thorndale station (Chicago "L"), usesPaymentMedium, contactless smart card]
-
A.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
B.
payType
Indicates the method or category of payment used in a transaction or compensation arrangement.
-
C.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
-
D.
hasPaymentOption
chosen
Indicates that an entity supports or offers a particular method or option for making payments.
-
E.
paySystem
Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.