Triple
T23669281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kedzie station |
E584682
|
entity |
| Predicate | hasFarecardVendors |
P118273
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kedzie station, hasFarecardVendors, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFarecardVendors Context triple: [Kedzie station, hasFarecardVendors, yes]
-
A.
hasFareCardVendor
chosen
Indicates that an entity provides or is associated with a machine or service point where fare cards can be purchased, reloaded, or otherwise obtained.
-
B.
hasCreditCardVariant
Indicates that one credit card is a specific version, type, or variation of another credit card.
-
C.
hasVanityCard
Indicates that an entity includes or is associated with a vanity card, typically a brief production or branding screen shown at the beginning or end of media content.
-
D.
fareCardSystem
Indicates a system that manages the issuance, validation, and payment processing of fare cards for transportation or access services.
-
E.
hadCoBrandedCreditCardsWith
Indicates that two entities jointly issued or partnered on one or more co-branded credit card products.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40dc0ec8190b558e30dbebf491f |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.