Triple
T26332320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine (Quebec) |
E662419
|
entity |
| Predicate | hasGreenbeltPolicy |
P165033
|
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: [Lorraine (Quebec), hasGreenbeltPolicy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreenbeltPolicy Context triple: [Lorraine (Quebec), hasGreenbeltPolicy, true]
-
A.
withinGreenBelt
Indicates that one entity is located inside the designated green belt area associated with another entity or region.
-
B.
hasGreenSpaces
Indicates that an entity includes or is associated with areas of vegetation or natural greenery, such as parks, gardens, or lawns.
-
C.
proposesGreenbelt
Indicates that an entity formally suggests or advocates establishing or designating a greenbelt area.
-
D.
isPartOfMetropolitanGreenBelt
Indicates that an area lies within a designated metropolitan green belt intended to limit urban sprawl and protect open land around a city.
-
E.
hasUrbanPlanningZone
Indicates that an area or property is designated as belonging to a specific urban planning zone within a planning or zoning scheme.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 26, 2026, 10:34 p.m.