Triple
T4857785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devils Punch Bowl State Natural Area |
E108577
|
entity |
| Predicate | hasViewpointFor |
P854
|
FINISHED |
| Object | whale migration |
—
|
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: whale migration | Statement: [Devils Punch Bowl State Natural Area, hasViewpointFor, whale migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewpointFor Context triple: [Devils Punch Bowl State Natural Area, hasViewpointFor, whale migration]
-
A.
hasViewpointType
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
-
B.
viewpointFrom
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
C.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
D.
hasView
chosen
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
-
E.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5b2f008190a5fd11d3aec165fb |
completed | March 20, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.