Triple
T2293925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosemite Falls Trail |
E51566
|
entity |
| Predicate | dogsAllowed |
P14057
|
FINISHED |
| Object | no (beyond certain lower sections) |
—
|
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: no (beyond certain lower sections) | Statement: [Yosemite Falls Trail, dogsAllowed, no (beyond certain lower sections)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dogsAllowed Context triple: [Yosemite Falls Trail, dogsAllowed, no (beyond certain lower sections)]
-
A.
petPolicy
chosen
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
-
B.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
-
C.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
D.
canAdopt
Indicates that one entity has the ability or permission to adopt another entity.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:48 p.m.