Triple
T10521238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Lake |
E248174
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object |
Grant Lake
Grant Lake is a scenic reservoir in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
|
E1092605
|
NE FINISHED |
How this triple was built (4 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: Grant Lake | Statement: [June Lake, hasNearbyLake, Grant Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Lake Context triple: [June Lake, hasNearbyLake, Grant Lake]
-
A.
Greenwood Lake
Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
-
B.
Club Lake
Club Lake is a small alpine glacial lake located in the Main Range of the Snowy Mountains in New South Wales, Australia.
-
C.
Sylvan Lake
Sylvan Lake is a freshwater lake in northeastern Indiana known for recreation such as boating, fishing, and lakeside living.
-
D.
Don Lake
Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
-
E.
Fox Lake
Fox Lake is a popular recreational lake in northeastern Illinois known for boating, fishing, and lakeside communities within the Chain O’Lakes region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grant Lake Triple: [June Lake, hasNearbyLake, Grant Lake]
Generated description
Grant Lake is a scenic reservoir in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grant Lake Target entity description: Grant Lake is a scenic reservoir in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
-
A.
Greenwood Lake
Greenwood Lake is a scenic glacial lake straddling the border of New York and New Jersey, popular for boating, fishing, and lakeside recreation.
-
B.
Club Lake
Club Lake is a small alpine glacial lake located in the Main Range of the Snowy Mountains in New South Wales, Australia.
-
C.
Sylvan Lake
Sylvan Lake is a freshwater lake in northeastern Indiana known for recreation such as boating, fishing, and lakeside living.
-
D.
Don Lake
Don Lake is a Canadian actor, writer, and comedian known for his character roles in film and television and frequent collaborations with director Christopher Guest.
-
E.
Fox Lake
Fox Lake is a popular recreational lake in northeastern Illinois known for boating, fishing, and lakeside communities within the Chain O’Lakes region.
- F. None of above. chosen
Provenance (5 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dec25881909bc748640f26a416 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466577508190b1926c475b7c49dc |
completed | May 8, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69fd4768edc881909a0c586b6d9568a3 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47eb7db08190a68f60b255073d8d |
completed | May 8, 2026, 2:18 a.m. |
Created at: April 6, 2026, 12:28 p.m.