Triple
T16727481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmette Pumping Station |
E406499
|
entity |
| Predicate | municipality |
P852
|
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: [Wilmette Pumping Station, municipality, Wilmette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmette Context triple: [Wilmette Pumping Station, municipality, 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.
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.
Schaumburg
Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38748f538819097de1fdee9b42f34 |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:20 a.m.