Triple
T13543653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazimiroff Nature Trail |
E323454
|
entity |
| Predicate | allowsDogs |
P14057
|
FINISHED |
| Object | yes, in accordance with NYC Parks rules |
—
|
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: yes, in accordance with NYC Parks rules | Statement: [Kazimiroff Nature Trail, allowsDogs, yes, in accordance with NYC Parks rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsDogs Context triple: [Kazimiroff Nature Trail, allowsDogs, yes, in accordance with NYC Parks rules]
-
A.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
-
B.
petPolicy
chosen
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
-
C.
goodWithOtherDogs
Indicates that one entity (typically an animal) behaves well, calmly, or compatibly when interacting with other dogs.
-
D.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
E.
canAdopt
Indicates that one entity has the ability or permission to adopt another entity.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.