Triple
T20274784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Forest Sanctuary |
E502981
|
entity |
| Predicate | partOfAttractionCategory |
P52310
|
FINISHED |
| Object | zoo exhibits in Washington (state) |
—
|
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: zoo exhibits in Washington (state) | Statement: [Asian Forest Sanctuary, partOfAttractionCategory, zoo exhibits in Washington (state)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAttractionCategory Context triple: [Asian Forest Sanctuary, partOfAttractionCategory, zoo exhibits in Washington (state)]
-
A.
partOfAttractionType
chosen
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
-
B.
attractionType
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
C.
themeParkAttraction
Indicates that something is an attraction or ride located within a theme park.
-
D.
isPartOfAttraction
Indicates that something is a component or sub-element within a larger attraction or point of interest.
-
E.
themeParkAttractionAt
Indicates that a specific theme park attraction is located at or associated with a particular theme park or site.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e30d4c8190a9e2d9efa0f741fc |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:32 a.m.