Triple
T20481739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Line (CTA) |
E502471
|
entity |
| Predicate | primarySuburbServed |
P82
|
FINISHED |
| Object | Wilmette |
—
|
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: Wilmette | Statement: [Purple Line (CTA), primarySuburbServed, Wilmette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmette Context triple: [Purple Line (CTA), primarySuburbServed, Wilmette]
-
A.
Wilmette, Illinois
chosen
Wilmette, Illinois is a suburban village on the North Shore of the Chicago metropolitan area, known for its affluent residential character, lakefront location, and highly rated public schools.
-
B.
Lake Forest
Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
-
C.
Lake Forest
Lake Forest is a residential lake community located within Jefferson Township in Morris County, New Jersey.
-
D.
Berwyn
Berwyn is a suburban community in Pennsylvania known for its residential character, local shops, and access to regional rail within the greater Philadelphia area.
-
E.
Berwyn
Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b57fa9c819091d12320d46a0cee |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.