Triple
T13001199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Okoboji |
E322172
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lower Gar Lake |
E515164
|
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: Lower Gar Lake | Statement: [Lake Okoboji, hasPart, Lower Gar Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Gar Lake Context triple: [Lake Okoboji, hasPart, Lower Gar Lake]
-
A.
Lower Gar Lake
chosen
Lower Gar Lake is a small natural lake in the Iowa Great Lakes region, popular for boating, fishing, and recreation.
-
B.
Upper Gar Lake
Upper Gar Lake is a small natural lake in the Iowa Great Lakes region, popular for boating, fishing, and recreation.
-
C.
Garrison Lake
Garrison Lake is a coastal freshwater lake near Port Orford in southwestern Oregon, known for fishing, boating, and scenic views.
-
D.
Herrington Lake
Herrington Lake is a large man-made reservoir in central Kentucky known for its deep waters, recreational boating, and fishing opportunities.
-
E.
Shoal Lake
Shoal Lake is a freshwater lake in the border region of Manitoba and Ontario, Canada, known for supplying drinking water to the city of Winnipeg.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc5c9a88190b70bda472bf3b062 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:47 p.m.