Triple
T25709593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granite Mountain (Arizona) |
E644692
|
entity |
| Predicate | wildernessAreaSize |
P159191
|
FINISHED |
| Object | about 960 acres |
—
|
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: about 960 acres | Statement: [Granite Mountain (Arizona), wildernessAreaSize, about 960 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildernessAreaSize Context triple: [Granite Mountain (Arizona), wildernessAreaSize, about 960 acres]
-
A.
wildernessAreaAffected
Indicates that a wilderness area is impacted or influenced by a specified event, action, or condition.
-
B.
hasWildernessArea
Indicates that one entity possesses, contains, or is associated with a designated wilderness area.
-
C.
areaProtected
Indicates that a specified geographic area is designated and managed as protected, typically restricting certain activities to conserve its natural or cultural resources.
-
D.
largestNationalPark
Indicates that the subject is the largest national park within the specified country or region.
-
E.
designatedWilderness
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc14ae5c8190acfecf5bb5d3c5d6 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 9:10 p.m.