Triple
T25129638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Băneasa Forest |
E629489
|
entity |
| Predicate | isPartOfGreenBelt |
P37569
|
FINISHED |
| Object | Bucharest green areas network |
—
|
NE NERFINISHED |
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: Bucharest green areas network | Statement: [Băneasa Forest, isPartOfGreenBelt, Bucharest green areas network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfGreenBelt Context triple: [Băneasa Forest, isPartOfGreenBelt, Bucharest green areas network]
-
A.
withinGreenBelt
chosen
Indicates that one entity is located inside the designated green belt area associated with another entity or region.
-
B.
isPartOfMetropolitanGreenBelt
Indicates that an area lies within a designated metropolitan green belt intended to limit urban sprawl and protect open land around a city.
-
C.
isGreenSpaceFor
Indicates that one entity serves as a designated green or open space intended for use or benefit by another entity.
-
D.
hasGreenbeltPolicy
Indicates that an entity has adopted or enforces a policy to protect designated greenbelt areas from development or certain land uses.
-
E.
isGreenSpaceType
Indicates that one entity is classified as a type or category of green space (such as parks, gardens, or natural vegetated areas) in relation to another.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 18, 2026, 6:28 a.m.