Triple
T8068983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reflection Lakes |
E188318
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Narada Falls |
E199326
|
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: Narada Falls | Statement: [Reflection Lakes, near, Narada Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narada Falls Context triple: [Reflection Lakes, near, Narada Falls]
-
A.
Narada Falls
chosen
Narada Falls is a popular, scenic waterfall in Washington State known for its dramatic two-tier drop and easy access within Mount Rainier National Park.
-
B.
Pandav Falls
Pandav Falls is a scenic waterfall near Panna in Madhya Pradesh, India, known for its lush surroundings, mythological association with the Pandavas, and tranquil natural pools.
-
C.
Nachi Falls
Nachi Falls is one of Japan’s tallest and most famous waterfalls, revered as a sacred site and scenic highlight near the Kumano Nachi Taisha shrine in Wakayama Prefecture.
-
D.
Argyle Falls
Argyle Falls is a popular multi-tiered waterfall in Tobago known for its scenic rainforest setting and natural swimming pools.
-
E.
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.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ffbd59c8190a34398ddb4ee551e |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd947cf7a881908b45cf262887da86 |
completed | April 1, 2026, 9:56 p.m. |
Created at: March 30, 2026, 5:27 p.m.