Triple
T8465705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Richmond Hill |
E200155
|
entity |
| Predicate | hasResidentialGrowth |
P29003
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [City of Richmond Hill, hasResidentialGrowth, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialGrowth Context triple: [City of Richmond Hill, hasResidentialGrowth, true]
-
A.
hasSuburbanGrowth
Indicates that an area or entity is experiencing or characterized by expansion or development typical of suburban environments.
-
B.
hasUrbanGrowthCharacteristic
chosen
Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
-
C.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
D.
hasHousingDensity
Indicates the relationship between an area and the concentration of housing units within that area, typically measured as units per unit of land.
-
E.
isResidentialTown
Indicates that a town is primarily used or designated for residential living rather than for commercial, industrial, or other primary purposes.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d17ec8819093becdaec750aff5 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.