Triple
T22886067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinatown, Calgary |
E567607
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Eau Claire |
—
|
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: Eau Claire | Statement: [Chinatown, Calgary, borderedBy, Eau Claire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eau Claire Context triple: [Chinatown, Calgary, borderedBy, Eau Claire]
-
A.
Eau Claire
chosen
Eau Claire is a central riverside neighborhood in Calgary, Alberta, known for its mixed-use developments, public plazas, and proximity to the Bow River and downtown core.
-
B.
Eau Claire, Wisconsin
Eau Claire, Wisconsin is a small city in western Wisconsin known for its vibrant indie music scene and as the hometown of the band Bon Iver.
-
C.
La Crosse
La Crosse is a mid-sized city in western Wisconsin known for its location along the Mississippi River, historic downtown, and regional educational and healthcare institutions.
-
D.
Kenosha
Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
-
E.
Wisconsin Rapids
Wisconsin Rapids is a small city in central Wisconsin known historically for its paper industry and location along the Wisconsin River.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc0cdb081908107d40069d9735f |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.