Triple
T1914150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Dana |
E38177
|
entity |
| Predicate | parkSide |
P33909
|
FINISHED |
| Object | western slopes in Yosemite National Park |
—
|
LITERAL 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: western slopes in Yosemite National Park | Statement: [Mount Dana, parkSide, western slopes in Yosemite National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkSide Context triple: [Mount Dana, parkSide, western slopes in Yosemite National Park]
-
A.
parkSection
Indicates a relationship where a specific area or subsection belongs to, is contained within, or is designated as part of a larger park.
-
B.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
C.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
D.
parkSectionTheme
Indicates that a particular section of a park is associated with a specific thematic concept or style.
-
E.
hasParkAlongBank
Indicates that a park is located adjacent to or running alongside the bank of a water body.
- F. None of above. chosen
Provenance (4 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb34c4a64819096e12b152b84c334 |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:35 p.m.