Triple
T21167317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Hamilton |
E521599
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lake Catherine |
—
|
NE NERFINISHED |
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 Catherine | Statement: [Lake Hamilton, near, Lake Catherine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Catherine Context triple: [Lake Hamilton, near, Lake Catherine]
-
A.
Lake Catherine
chosen
Lake Catherine is a man-made reservoir in Arkansas known for its scenic shoreline, recreational opportunities, and role in hydroelectric power generation along the Ouachita River.
-
B.
Lake Catherine
Lake Catherine is one of the interconnected lakes in northeastern Illinois’ Chain O’Lakes region, popular for boating, fishing, and other recreational activities.
-
C.
Lake Frank
Lake Frank is a man-made reservoir and popular recreational lake located within Rock Creek Regional Park in Montgomery County, Maryland.
-
D.
Lake Kathryn
Lake Kathryn is a small residential lake located in the city of Casselberry in central Florida.
-
E.
Lake Katherine
Lake Katherine is a high-altitude alpine lake in the Sangre de Cristo Mountains of northern New Mexico, popular with hikers and backpackers for its scenic wilderness setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270fce708190a5715b55b406dd4e |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.