Triple
T36149644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverside |
E1045550
|
entity |
| Predicate | planningAreaType |
P133153
|
FINISHED |
| Object | subzone under Master Plan |
—
|
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: subzone under Master Plan | Statement: [Riverside, planningAreaType, subzone under Master Plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planningAreaType Context triple: [Riverside, planningAreaType, subzone under Master Plan]
-
A.
plannedArea
Indicates that an area is designated or intended for a specific planned use or development.
-
B.
regionTypePlanned
chosen
Indicates that a region is intended or designated to have a specific type or classification in a planned or future state.
-
C.
typeOfAreaRepresented
Indicates that one entity specifies the kind or category of area that another entity represents.
-
D.
partOfPlanningRegion
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
E.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:08 p.m.