Triple
T10693626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolgoch |
E252073
|
entity |
| Predicate | nameOrigin |
P744
|
FINISHED |
| Object | Dolgoch Falls |
E862057
|
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: Dolgoch Falls | Statement: [Dolgoch, nameOrigin, Dolgoch Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolgoch Falls Context triple: [Dolgoch, nameOrigin, Dolgoch Falls]
-
A.
Dolgoch Falls
chosen
Dolgoch Falls is a picturesque series of waterfalls in Gwynedd, Wales, popular with walkers and visitors to the nearby Talyllyn Railway.
-
B.
Horsetail Falls
Horsetail Falls is a picturesque, horsetail-shaped waterfall in Oregon that cascades down a basalt cliff along the Columbia River Gorge.
-
C.
Metlako Falls
Metlako Falls is a picturesque plunge waterfall on Eagle Creek in the Columbia River Gorge of Oregon, popular with hikers and photographers for its dramatic drop and lush canyon setting.
-
D.
Nachtigal Falls
Nachtigal Falls is a series of powerful rapids and waterfalls on the Sanaga River in Cameroon, known for its hydroelectric potential and scenic natural setting.
-
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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd38c24c8190a105a9dfdf705b38 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998cfeb748190bfff06534d83cf97 |
completed | April 11, 2026, 12:41 a.m. |
Created at: April 8, 2026, 9:11 p.m.