Triple
T24843989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 45th Ward of Chicago |
E621690
|
entity |
| Predicate | hasTransitLine |
P34620
|
FINISHED |
| Object | 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: CTA Blue Line | Statement: [45th Ward of Chicago, hasTransitLine, CTA Blue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitLine Context triple: [45th Ward of Chicago, hasTransitLine, CTA Blue Line]
-
A.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
B.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
-
C.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
-
D.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
E.
hasPublicTransitRoute
chosen
Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 5:19 a.m.