Triple
T3162054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Library station |
E66122
|
entity |
| Predicate | hasPlatformLayout |
P10827
|
FINISHED |
| Object | stacked island 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: stacked island platforms | Statement: [National Library station, hasPlatformLayout, stacked island platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformLayout Context triple: [National Library station, hasPlatformLayout, stacked island platforms]
-
A.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
B.
hasLayout
chosen
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
C.
hasTargetPlatform
Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
-
D.
driveLayoutSupported
Indicates that a particular drive layout or configuration is compatible with and can be correctly handled by a given system or component.
-
E.
hasNumberOfPlatforms
Indicates the relationship that specifies how many platforms are associated with a given entity.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada618b9b88190afaa6d47dcad9f2c |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.