Triple
T12344750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reedy River |
E294321
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Reedy River Falls |
E497362
|
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: Reedy River Falls | Statement: [Reedy River, hasPart, Reedy River Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reedy River Falls Context triple: [Reedy River, hasPart, Reedy River Falls]
-
A.
Reedy River Falls
chosen
Reedy River Falls is a scenic urban waterfall in downtown Greenville, South Carolina, serving as the natural centerpiece of Falls Park on the Reedy.
-
B.
Roaring River Falls
Roaring River Falls is a scenic waterfall in Kings Canyon National Park, California, known for its powerful cascade in a narrow granite chute near the Cedar Grove area.
-
C.
Ripley Falls
Ripley Falls is a picturesque, steep cascade waterfall in New Hampshire’s White Mountains, popular with hikers visiting Crawford Notch.
-
D.
Cochecho Falls
Cochecho Falls is a historic waterfall and former mill site on the Cocheco River in downtown Dover, New Hampshire.
-
E.
Valley Falls
Valley Falls is a small village in Rensselaer County, New York, known for its rural character and historic mill-town roots.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726570a2481909f417be6e38d283a |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 8, 2026, 9:53 p.m.