Triple
T3302393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Wingra |
E69364
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lake Kegonsa |
E78558
|
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: Lake Kegonsa | Statement: [Lake Wingra, near, Lake Kegonsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Kegonsa Context triple: [Lake Wingra, near, Lake Kegonsa]
-
A.
Lake Kegonsa
chosen
Lake Kegonsa is a glacial freshwater lake in south-central Wisconsin that is popular for boating, fishing, and its surrounding state park.
-
B.
Miage Lake
Miage Lake is a proglacial lake in the Italian Alps formed at the terminus of the Miage Glacier, known for its striking setting beneath Mont Blanc.
-
C.
Teresa Lake
Teresa Lake is a small alpine glacial lake in Nevada’s Great Basin National Park, known for its scenic mountain setting and hiking access.
-
D.
Naknek Lake
Naknek Lake is a large glacial lake in southern Alaska renowned for its salmon runs, brown bear viewing, and scenic wilderness within Katmai National Park.
-
E.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a9450481909f0d630e5593085e |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0304964c81908893f85073cb626e |
completed | March 21, 2026, 2:31 a.m. |
Created at: March 8, 2026, 3:11 p.m.