Triple
T13162457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiringen |
E312759
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Reichenbach Falls |
E779091
|
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: Reichenbach Falls | Statement: [Meiringen, knownFor, Reichenbach Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reichenbach Falls Context triple: [Meiringen, knownFor, Reichenbach Falls]
-
A.
Reichenbach Falls
chosen
Reichenbach Falls is a dramatic Swiss waterfall famously known as the setting of Sherlock Holmes’s fateful confrontation with his nemesis Professor Moriarty.
-
B.
Dry Falls
Dry Falls is a massive, now-dry Ice Age waterfall in central Washington State, renowned as one of the world’s largest known former waterfalls and a key feature of the Channeled Scablands.
-
C.
Sentinel Falls
Sentinel Falls is a seasonal waterfall in Yosemite National Park, California, known for its dramatic drop along the cliffs near Sentinel Rock.
-
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.
Tristania Falls
Tristania Falls is a scenic waterfall located within Dorrigo National Park in New South Wales, Australia.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e22458819097dc8d6708df5284 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:12 p.m.