Triple
T7915156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburn, Maine |
E183802
|
entity |
| Predicate | waterBody |
P1778
|
FINISHED |
| Object | Lake Auburn |
E851215
|
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 Auburn | Statement: [Auburn, Maine, waterBody, Lake Auburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Auburn Context triple: [Auburn, Maine, waterBody, Lake Auburn]
-
A.
Lake Auburn
chosen
Lake Auburn is a scenic freshwater lake in Auburn, Maine, known for outdoor recreation such as boating, fishing, and lakeside relaxation.
-
B.
Woods Lake
Woods Lake is a scenic alpine lake in the Sierra Nevada of California, popular for camping, fishing, and hiking in the Carson Pass area.
-
C.
Lake Minnetonka
Lake Minnetonka is a large, popular recreational lake in the western suburbs of the Minneapolis–Saint Paul metropolitan area in Minnesota, known for boating, fishing, and lakeside communities.
-
D.
Lake Audubon
Lake Audubon is a man-made residential lake in Reston, Virginia, known for its waterfront homes, recreational boating, and scenic walking paths.
-
E.
Lake Waban
Lake Waban is a scenic freshwater lake in Wellesley, Massachusetts, known for its walking trails and its central role in the landscape of Wellesley College.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c07da988190a4d0a50649cc6748 |
completed | April 9, 2026, 3:24 a.m. |
Created at: March 30, 2026, 5:05 p.m.