Triple
T25091806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashion Outlets of Chicago |
E628480
|
entity |
| Predicate | nearTransitHub |
P5822
|
FINISHED |
| Object | Rosemont station (CTA Blue Line) |
—
|
NE NERFINISHED |
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: Rosemont station (CTA Blue Line) | Statement: [Fashion Outlets of Chicago, nearTransitHub, Rosemont station (CTA Blue Line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearTransitHub Context triple: [Fashion Outlets of Chicago, nearTransitHub, Rosemont station (CTA Blue Line)]
-
A.
operatorOfNearbyTransit
Indicates that an entity operates or manages a public transit service located in close geographic proximity to another specified entity.
-
B.
nearbyTransit
chosen
Indicates that one location has public transportation options situated within a short distance or easy access from it.
-
C.
providesUrbanTransport
Indicates that one entity supplies or operates transportation services within an urban or city environment for another entity or the public.
-
D.
modernTransportRoute
Indicates a transportation route that uses contemporary or up-to-date modes, infrastructure, or standards for moving people or goods between locations.
-
E.
accessibleByPublicTransport
Indicates that a location or entity can be reached using public transportation services such as buses, trains, or trams.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461eabb7c81909cfa0d5db8daca43 |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:24 a.m.