Triple
T7185470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Toronto Junction vicinity |
E167557
|
entity |
| Predicate | hasCurrentTrend |
P5318
|
FINISHED |
| Object | residential intensification |
—
|
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: residential intensification | Statement: [West Toronto Junction vicinity, hasCurrentTrend, residential intensification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentTrend Context triple: [West Toronto Junction vicinity, hasCurrentTrend, residential intensification]
-
A.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
B.
hasOnlineTrendType
Indicates that an entity is associated with a specific category or type of online trend.
-
C.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
D.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
E.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.