Triple
T28124280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Rim Trail |
E710882
|
entity |
| Predicate | approximateLocationWithinPark |
P90743
|
FINISHED |
| Object | Canyon Village area |
—
|
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 Village area | Statement: [South Rim Trail, approximateLocationWithinPark, Canyon Village area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateLocationWithinPark Context triple: [South Rim Trail, approximateLocationWithinPark, Canyon Village area]
-
A.
isWithinPark
Indicates that one entity is located inside the boundaries of a park that contains it.
-
B.
positionInPark
chosen
Indicates that one entity occupies a specific location or spot within a park.
-
C.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
D.
zoningWithinPark
Indicates that a zoning area or designation lies entirely within the boundaries of a park.
-
E.
locatedNearNationalPark
Indicates that one place or entity is situated in close proximity to a national park.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 9:19 p.m.