Triple
T8852799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Entrance |
E210676
|
entity |
| Predicate | nearbyLandscapeType |
P9701
|
FINISHED |
| Object | canyon country |
—
|
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: canyon country | Statement: [East Entrance, nearbyLandscapeType, canyon country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyLandscapeType Context triple: [East Entrance, nearbyLandscapeType, canyon country]
-
A.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
B.
hasNearbyLandUse
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
C.
landscapeType
chosen
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
D.
nearbyFacilityType
Indicates that a facility of a specified type is located close to a given reference entity or location.
-
E.
nearbyElevation
Indicates that one entity is located at or associated with an elevation that is geographically close to the elevation of another entity.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c55e348190957b3bbb7397e380 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:49 p.m.