Triple
T18095110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mundelein station |
E433062
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Mundelein |
—
|
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: Mundelein | Statement: [Mundelein station, servesCity, Mundelein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mundelein Context triple: [Mundelein station, servesCity, Mundelein]
-
A.
Mundelein, Illinois
chosen
Mundelein, Illinois is a suburban village in Lake County known for its residential communities, parks, and commuter access to the Chicago metropolitan area.
-
B.
Schaumburg
Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
-
C.
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.
-
D.
Berwyn
Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
-
E.
Calumet City, Illinois
Calumet City, Illinois is a suburban city in the Chicago metropolitan area known historically for its industrial roots and proximity to the Indiana state line.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1b670081908e1e1083436da04e |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.