Triple
T26261310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northcote railway station |
E656853
|
entity |
| Predicate | hasSteepRamp |
P25297
|
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: [Northcote railway station, hasSteepRamp, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSteepRamp Context triple: [Northcote railway station, hasSteepRamp, yes]
-
A.
hasRampSpace
Indicates that a location or structure includes designated space for a ramp, allowing sloped access between different levels.
-
B.
containsRamps
Indicates that one entity includes or is equipped with one or more ramps as part of its structure or features.
-
C.
hasIncline
chosen
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
D.
hasSpiralRampLength
Indicates the length measurement of a spiral-shaped ramp in the relationship.
-
E.
hasStaircaseToSummit
Indicates that there exists a staircase providing a direct route or access from a lower point to the summit of 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 26, 2026, 9:10 p.m.