Triple
T22668663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCC LeBreton Flats Master Concept Plan |
E559860
|
entity |
| Predicate | usesPlanningPrinciple |
P47536
|
FINISHED |
| Object | transit-oriented development |
—
|
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: transit-oriented development | Statement: [NCC LeBreton Flats Master Concept Plan, usesPlanningPrinciple, transit-oriented development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPlanningPrinciple Context triple: [NCC LeBreton Flats Master Concept Plan, usesPlanningPrinciple, transit-oriented development]
-
A.
usesPrinciple
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
B.
implementsPrinciple
chosen
Indicates that an entity applies, follows, or puts into practice a specified principle in its design, behavior, or operation.
-
C.
usedPlanningSystem
Indicates that an entity employed a particular planning system or methodology to carry out its planning activities.
-
D.
includePrinciple
Indicates that one entity incorporates, embodies, or is based on a particular principle defined by another entity.
-
E.
principleClarified
Indicates that a principle has been made clearer or more explicit, typically by explanation, refinement, or elaboration.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781de1d48190947cb1bb9d0890d9 |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:09 p.m.