Triple
T6997475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevada Fall amphitheater |
E162251
|
entity |
| Predicate | accessedBy |
P1985
|
FINISHED |
| Object | Mist Trail |
E17944
|
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 Trail | Statement: [Nevada Fall amphitheater, accessedBy, Mist Trail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mist Trail Context triple: [Nevada Fall amphitheater, accessedBy, Mist Trail]
-
A.
Mist Trail
chosen
Mist Trail is a popular and steep hiking route in Yosemite National Park known for its close-up, mist-soaked views of Vernal and Nevada Falls.
-
B.
Sundown Trail
Sundown Trail is a 1931 American Western film starring cowboy actor Tom Keene.
-
C.
Blue Trail
Blue Trail is a marked hiking route within Staten Island’s Greenbelt park system, offering wooded paths and natural scenery in New York City.
-
D.
Blue Trail
Blue Trail is a designated hiking route within Alabama’s Oak Mountain State Park, known for its scenic woodland terrain and outdoor recreation opportunities.
-
E.
Blue Trail
Blue Trail is a designated hiking path within Cape May Point State Park, offering visitors a marked route through the park’s coastal and natural habitats.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2465908190b69454f6215365b0 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:33 p.m.