Triple
T22753826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripley Falls |
E562780
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Avalanche Brook |
—
|
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: Avalanche Brook | Statement: [Ripley Falls, watercourse, Avalanche Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalanche Brook Context triple: [Ripley Falls, watercourse, Avalanche Brook]
-
A.
Avalanche Brook
chosen
Avalanche Brook is a small mountain stream in New Hampshire that feeds into the Mad River within the White Mountains region.
-
B.
Warner Brook
Warner Brook is a small stream in western New York that serves as a tributary feeding into the Chadakoin River.
-
C.
Amato Brook
Amato Brook is a small tributary stream that feeds into New York’s Croton River within the Croton River watershed system.
-
D.
Whistle Brook
Whistle Brook is a small watercourse in England that serves as a tributary of the River Ouzel.
-
E.
Feldspar Brook
Feldspar Brook is a small mountain stream in the Adirondack High Peaks region of New York that originates near Lake Tear of the Clouds and contributes to the headwaters of the Hudson River system.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.