Triple
T8396211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mist Falls Trail |
E198057
|
entity |
| Predicate | offersViewOf |
P3821
|
FINISHED |
| Object | Mist Falls |
E730498
|
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: Mist Falls | Statement: [Mist Falls Trail, offersViewOf, Mist Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mist Falls Context triple: [Mist Falls Trail, offersViewOf, Mist Falls]
-
A.
Mist Falls
chosen
Mist Falls is a scenic waterfall in Kings Canyon National Park, California, known for its powerful cascades and popular hiking access.
-
B.
Blackwater Falls
Blackwater Falls is a scenic waterfall in West Virginia renowned for its dark, tannin-stained waters and status as a centerpiece of Blackwater Falls State Park.
-
C.
Seraphim Falls
Seraphim Falls is a 2006 American revisionist Western thriller film about a brutal post–Civil War manhunt, starring Pierce Brosnan and Liam Neeson.
-
D.
Tristania Falls
Tristania Falls is a scenic waterfall located within Dorrigo National Park in New South Wales, Australia.
-
E.
Ear Falls
Ear Falls is a small rural community in northwestern Ontario, Canada, known for its forestry, hydroelectric resources, and outdoor recreation such as fishing and hunting.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02d5e0648190b33011c2ddca4ad3 |
completed | April 2, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:04 p.m.