Triple
T12314360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maida Vale |
E293561
|
entity |
| Predicate | platformArrangement |
P46737
|
FINISHED |
| Object | two side 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: two side platforms | Statement: [Maida Vale, platformArrangement, two side platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformArrangement Context triple: [Maida Vale, platformArrangement, two side platforms]
-
A.
arrangementType
chosen
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
-
B.
seatingConfiguration
Indicates how seats are arranged or organized relative to each other in a given context.
-
C.
featuresStringArrangementBy
Indicates that something presents or includes a specific arrangement or ordering of strings that is determined or provided by a particular agent or source.
-
D.
isArrangementOf
Indicates that one entity is a specific ordering or configuration of the components or elements of another entity.
-
E.
arrangementFeatures
Indicates that one entity specifies or characterizes the structural or compositional features of an arrangement involving another 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.