Triple
T10231967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubbard Orangutan Forest |
E243362
|
entity |
| Predicate | featuresDesignElement |
P57584
|
FINISHED |
| Object | naturalistic climbing structures |
—
|
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: naturalistic climbing structures | Statement: [Hubbard Orangutan Forest, featuresDesignElement, naturalistic climbing structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDesignElement Context triple: [Hubbard Orangutan Forest, featuresDesignElement, naturalistic climbing structures]
-
A.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
B.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
-
C.
featuresRecurringElement
Indicates that something includes an element, motif, or component that appears repeatedly over time or across multiple instances.
-
D.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
E.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:20 a.m.