Triple
T23255032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendocino College |
E581842
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object |
Lake Center
Lake Center is a satellite campus of Mendocino College serving students in the Lake County region with community college courses and programs.
|
E1576995
|
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: Lake Center | Statement: [Mendocino College, hasCenter, Lake Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Center Context triple: [Mendocino College, hasCenter, Lake Center]
-
A.
Lake Centre
Lake Centre was a former federal electoral district in Saskatchewan, Canada, notably represented in Parliament by future Prime Minister John Diefenbaker.
-
B.
Grant Lake
Grant Lake is a scenic reservoir in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
-
C.
Sylvan Lake
Sylvan Lake is a scenic mountain lake in South Dakota’s Black Hills, popular for hiking, rock climbing, and picturesque views.
-
D.
Sylvan Lake
Sylvan Lake is a freshwater lake in northeastern Indiana known for recreation such as boating, fishing, and lakeside living.
-
E.
Sylvan Lake
Sylvan Lake is a small, scenic inland lake in Oakland County, Michigan, known for recreational boating, fishing, and its surrounding residential community.
- 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: Lake Center Triple: [Mendocino College, hasCenter, Lake Center]
Generated description
Lake Center is a satellite campus of Mendocino College serving students in the Lake County region with community college courses and programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Center Target entity description: Lake Center is a satellite campus of Mendocino College serving students in the Lake County region with community college courses and programs.
-
A.
Lake Centre
Lake Centre was a former federal electoral district in Saskatchewan, Canada, notably represented in Parliament by future Prime Minister John Diefenbaker.
-
B.
Grant Lake
Grant Lake is a scenic reservoir in California’s Eastern Sierra Nevada, popular for fishing, boating, and outdoor recreation.
-
C.
Sylvan Lake
Sylvan Lake is a scenic mountain lake in South Dakota’s Black Hills, popular for hiking, rock climbing, and picturesque views.
-
D.
Sylvan Lake
Sylvan Lake is a freshwater lake in northeastern Indiana known for recreation such as boating, fishing, and lakeside living.
-
E.
Sylvan Lake
Sylvan Lake is a small, scenic inland lake in Oakland County, Michigan, known for recreational boating, fishing, and its surrounding residential community.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193fadac881908579b5729718ee41 |
completed | April 29, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f6a050c81908242087190a5a42e |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c40297d3c8190b366b60cec3dbbf8 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40ffd67481908931ffc2d91fb02b |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 17, 2026, 4:11 p.m.