Triple
T14307405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casula railway station |
E354732
|
entity |
| Predicate | hasPlatformCanopies |
P8429
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Casula railway station, hasPlatformCanopies, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformCanopies Context triple: [Casula railway station, hasPlatformCanopies, yes]
-
A.
hasCanopy
chosen
Indicates that one entity possesses or is characterized by a canopy associated with it.
-
B.
hasOutdoorPlatforms
Indicates that an entity includes one or more platforms or boarding areas that are located outdoors rather than inside a building or covered structure.
-
C.
hasSidePlatforms
Indicates that something is equipped with platforms located on its sides, typically for access, support, or operation.
-
D.
hasCoverings
Indicates that one entity possesses or is equipped with protective or enclosing layers, surfaces, or coverings provided by another entity.
-
E.
hasViewingPlatform
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.