Triple
T13160706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnehaha Creek |
E312717
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Edina |
E353222
|
NE FINISHED |
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: Edina | Statement: [Minnehaha Creek, flowsThrough, Edina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edina Context triple: [Minnehaha Creek, flowsThrough, Edina]
-
A.
Edina
chosen
Edina is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its affluent neighborhoods, strong school system, and major shopping centers like Southdale Center.
-
B.
Berwyn
Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
-
C.
Nicoma Park
Nicoma Park is a small city in central Oklahoma known as a residential community within the Oklahoma City metropolitan area.
-
D.
Schaumburg
Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
-
E.
Haslett
Haslett is a suburban community in Michigan known for its residential neighborhoods and proximity to East Lansing and Michigan State University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf2ae688190b3484989791977ce |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.