Triple
T10529777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lake, Washington |
E248407
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Silver Lake
Silver Lake is a small community in Cowlitz County, Washington, known for its lakeside setting near Mount St. Helens and outdoor recreational opportunities.
|
E1094458
|
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: Silver Lake | Statement: [Silver Lake, Washington, hasName, Silver Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Lake Context triple: [Silver Lake, Washington, hasName, Silver Lake]
-
A.
Silver Lake
Silver Lake is a scenic recreational lake located within Blackwell Forest Preserve in DuPage County, Illinois.
-
B.
Silver Lake
Silver Lake is a residential neighborhood on Staten Island in New York City, known for its namesake park and reservoir.
-
C.
Silver Lake
Silver Lake is a leading global private equity firm specializing in technology and technology-enabled investments.
-
D.
Silver Lake
Silver Lake is a small freshwater lake located in Wilmington, Massachusetts, known locally for recreation and scenic views.
-
E.
Silver Lake
Silver Lake is a scenic alpine lake in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
- 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: Silver Lake Triple: [Silver Lake, Washington, hasName, Silver Lake]
Generated description
Silver Lake is a small community in Cowlitz County, Washington, known for its lakeside setting near Mount St. Helens and outdoor recreational opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Lake Target entity description: Silver Lake is a small community in Cowlitz County, Washington, known for its lakeside setting near Mount St. Helens and outdoor recreational opportunities.
-
A.
Silver Lake
Silver Lake is a scenic alpine lake in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
-
B.
Silver Lake
Silver Lake is a scenic body of water within Lynn Woods Reservation in Lynn, Massachusetts, popular for its natural beauty and outdoor recreation.
-
C.
Silver Lake
Silver Lake is a small freshwater lake located in Wilmington, Massachusetts, known locally for recreation and scenic views.
-
D.
Silver Lake
Silver Lake is a residential neighborhood on Staten Island in New York City, known for its namesake park and reservoir.
-
E.
Silver Lake
Silver Lake is a scenic recreational lake located within Blackwell Forest Preserve in DuPage County, Illinois.
- 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_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c1d31048190ab0a8d8e00515211 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cab717c819080d817d9851fe7c6 |
completed | May 8, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d5b489081908016e62d4db476ce |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 6, 2026, 12:30 p.m.