Triple
T4635824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottage Grove station |
E101527
|
entity |
| Predicate | platformLevel |
P40045
|
FINISHED |
| Object | elevated above street |
—
|
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: elevated above street | Statement: [Cottage Grove station, platformLevel, elevated above street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformLevel Context triple: [Cottage Grove station, platformLevel, elevated above street]
-
A.
platformRole
Indicates the specific function, position, or level of responsibility an entity holds within a given platform or system.
-
B.
platformName
Indicates the name or identifier of the platform associated with the entity or action.
-
C.
platformModel
Indicates that one entity serves as the underlying platform or foundational model upon which the other entity is built, operates, or depends.
-
D.
platformHeight
chosen
Indicates the vertical distance or elevation of a platform relative to a defined reference level.
-
E.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a60a66c8190b76f3d3a7da1df55 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.