Triple
T2356206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloor–Yonge station |
E47560
|
entity |
| Predicate | expansionReason |
P38715
|
FINISHED |
| Object | overcrowding and high passenger volumes |
—
|
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: overcrowding and high passenger volumes | Statement: [Bloor–Yonge station, expansionReason, overcrowding and high passenger volumes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expansionReason Context triple: [Bloor–Yonge station, expansionReason, overcrowding and high passenger volumes]
-
A.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
-
B.
expansionAdded
Indicates that an additional component, feature, or content has been incorporated into an existing entity or system.
-
C.
expandsIn
Indicates that one entity grows, spreads, or extends its presence or influence within the space, scope, or context defined by another entity.
-
D.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
E.
hasExpansion
Indicates that one entity serves as a larger, extended, or elaborated form of another entity.
- F. None of above. chosen
Provenance (4 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.