Triple
T2261477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarborough railway station |
E50048
|
entity |
| Predicate | platformLayout |
P15899
|
FINISHED |
| Object | terminal platforms |
—
|
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: terminal platforms | Statement: [Scarborough railway station, platformLayout, terminal platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformLayout Context triple: [Scarborough railway station, platformLayout, terminal platforms]
-
A.
layoutDetail
Indicates the specific arrangement or configuration details of how elements are laid out in relation to each other.
-
B.
stationLayout
chosen
Indicates the spatial arrangement and structural organization of elements within a station.
-
C.
layoutEngine
Indicates the rendering or layout system responsible for arranging and positioning elements within a visual or document structure.
-
D.
platformCode
Indicates the specific code or identifier assigned to a platform (such as a station platform or service platform) associated with the subject entity.
-
E.
platformNeutral
Indicates that something is compatible with, applicable to, or designed to work across multiple platforms without dependence on any specific one.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.