Triple
T25056008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Island Scenic Byway |
E627519
|
entity |
| Predicate | hasStartingEnvironment |
P108825
|
FINISHED |
| Object | desert lowlands |
—
|
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: desert lowlands | Statement: [Sky Island Scenic Byway, hasStartingEnvironment, desert lowlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStartingEnvironment Context triple: [Sky Island Scenic Byway, hasStartingEnvironment, desert lowlands]
-
A.
hasBuiltEnvironment
Indicates that an entity possesses, contains, or is associated with human-made physical structures or infrastructure in its environment.
-
B.
hasPrimaryEnvironment
chosen
Indicates that an entity is associated with its main or most characteristic environment or setting.
-
C.
hasApproachEnvironment
Indicates that an entity uses, is associated with, or is designed for a particular environment or context in which it operates or approaches something.
-
D.
hasTrainingEnvironment
Indicates that an entity is associated with, or operates within, a specific environment or setting used for training or practice.
-
E.
hasTraditionalEnvironment
Indicates that an entity is associated with or situated within a customary or historically established environment or setting.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 18, 2026, 6:09 a.m.