Triple
T12655705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunn’s Falls Park |
E302275
|
entity |
| Predicate | isNamedAfter |
P63
|
FINISHED |
| Object | Dunn’s Falls |
E1047814
|
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: Dunn’s Falls | Statement: [Dunn’s Falls Park, isNamedAfter, Dunn’s Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunn’s Falls Context triple: [Dunn’s Falls Park, isNamedAfter, Dunn’s Falls]
-
A.
Dunn’s Falls
chosen
Dunn’s Falls is a scenic waterfall in Mississippi known for its historic grist mill, swimming area, and natural beauty within a wooded park setting.
-
B.
Shepherd’s Falls
Shepherd’s Falls is the former name of the town now known as Almonte in Ontario, Canada, reflecting its early settlement history along the Mississippi River.
-
C.
Ripley Falls
Ripley Falls is a picturesque, steep cascade waterfall in New Hampshire’s White Mountains, popular with hikers visiting Crawford Notch.
-
D.
Indian Falls
Indian Falls is a scenic waterfall and popular hiking destination in the Adirondack High Peaks region of New York.
-
E.
Holloway Falls
Holloway Falls is a novel by British author Neil Cross, known for its dark, character-driven storytelling and psychological depth.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961620b188190a8a8569f1133a9cf |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9383088190a0194cd0e666d11c |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:18 p.m.