Triple
T37966011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USGS Wheeler Peak |
E947143
|
entity |
| Predicate | cartographicMaterialFor |
P95647
|
FINISHED |
| Object | outdoor recreation near Wheeler Peak |
—
|
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: outdoor recreation near Wheeler Peak | Statement: [USGS Wheeler Peak, cartographicMaterialFor, outdoor recreation near Wheeler Peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cartographicMaterialFor Context triple: [USGS Wheeler Peak, cartographicMaterialFor, outdoor recreation near Wheeler Peak]
-
A.
cartographicContent
Indicates that the resource contains or is associated with map-related or cartographic information.
-
B.
cartographicWork
chosen
Indicates a relationship where one entity is a cartographic work (such as a map or chart) that represents geographic information about another entity.
-
C.
cartographicSource
Indicates the map, chart, or other cartographic resource from which the described information or representation is derived.
-
D.
cartographyBy
Indicates that one entity is the creator or producer of the cartographic work (such as a map or chart) associated with another entity.
-
E.
cartographicUse
Indicates the way in which something is used or intended to be used within a cartographic or map-making context.
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.