Triple
T36756989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacoima Wash |
E908076
|
entity |
| Predicate | hasRecreationProject |
—
|
GENERATED |
| Object | Pacoima Wash Greenway |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecreationProject Context triple: [Pacoima Wash, hasRecreationProject, Pacoima Wash Greenway]
-
A.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
B.
hasRecreationEvent
Indicates that an entity is associated with, organizes, or participates in a recreational event or activity.
-
C.
hasRecreationSection
chosen
Indicates that an entity includes or is associated with a designated recreation section or recreational area.
-
D.
hasRecreationValue
Indicates that something provides opportunities or benefits for leisure, enjoyment, or recreational activities.
-
E.
hasRecreationPurpose
Indicates that something is used or intended to be used for recreational or leisure activities.
- F. None of above.
Provenance (1 batch)
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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.