Triple
T20829115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenstone |
E512779
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Lake Helen |
—
|
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 Helen | Statement: [Greenstone, hasCommunity, Lake Helen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Helen Context triple: [Greenstone, hasCommunity, Lake Helen]
-
A.
Lake Helen
Lake Helen is a high-elevation alpine lake in California’s Lassen Volcanic National Park, known for its striking blue waters and scenic mountain surroundings.
-
B.
Lake Helen
chosen
Lake Helen is a small historic city in Volusia County, Florida, known for its quiet residential character and early-20th-century architecture.
-
C.
Lake Mary
Lake Mary is a scenic alpine lake near Mammoth Lakes in California, popular for fishing, boating, and outdoor recreation amid mountain and forest surroundings.
-
D.
Lake Mary
Lake Mary is a popular reservoir in northern Arizona known for fishing, boating, and scenic forested surroundings near Flagstaff.
-
E.
Lake Howell
Lake Howell is a freshwater lake in the Casselberry area of central Florida, known for residential waterfront communities and recreational activities such as boating and fishing.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32030c081908249449aae5925c8 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.