Triple
T2404900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cook’s Meadow |
E50252
|
entity |
| Predicate | isPartOfScenicRoute |
P6309
|
FINISHED |
| Object | Yosemite Valley walking routes |
—
|
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: Yosemite Valley walking routes | Statement: [Cook’s Meadow, isPartOfScenicRoute, Yosemite Valley walking routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfScenicRoute Context triple: [Cook’s Meadow, isPartOfScenicRoute, Yosemite Valley walking routes]
-
A.
hasScenicByway
Indicates that one place, route, or area is connected to or includes a designated scenic byway.
-
B.
hasScenicDrive
Indicates that one entity offers or features a visually appealing or picturesque driving route associated with it.
-
C.
isPartOfRoute
chosen
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
-
D.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
E.
hasScenicSections
Indicates that a route, path, or area contains segments that are visually attractive or offer notable scenic views.
- F. None of above.
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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.