Triple
T488967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runyon Canyon Park |
E9942
|
entity |
| Predicate | petPolicy |
P14057
|
FINISHED |
| Object | dogs allowed |
—
|
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: dogs allowed | Statement: [Runyon Canyon Park, petPolicy, dogs allowed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petPolicy Context triple: [Runyon Canyon Park, petPolicy, dogs allowed]
-
A.
pet
Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
-
B.
canAdopt
Indicates that one entity has the ability or permission to adopt another entity.
-
C.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
D.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
E.
domesticatedFor
Indicates that one entity has been tamed and bred by another for specific human use or benefit.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0df764481909811d9483dfbc4aa |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebb2c908190960a4d0c014304cd |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.