Triple
T4670232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elwyn station |
E102942
|
entity |
| Predicate | hasPlatformCanopy |
P8429
|
FINISHED |
| Object | partial |
—
|
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: partial | Statement: [Elwyn station, hasPlatformCanopy, partial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformCanopy Context triple: [Elwyn station, hasPlatformCanopy, partial]
-
A.
hasCanopy
chosen
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
B.
hasCanopyDensity
Indicates the degree to which a canopy (such as a tree or forest cover) occupies or obscures the area beneath it.
-
C.
hasViewingPlatform
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
-
D.
hasPylon
Indicates that one entity possesses, includes, or is equipped with a pylon as part of its structure or configuration.
-
E.
hasSidePlatforms
Indicates that something is equipped with platforms located on its sides, typically for access, support, or operation.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.