Triple
T33405444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Skyway |
E855425
|
entity |
| Predicate | technologyReuse |
P176868
|
FINISHED |
| Object | Primeval World Diorama at Disneyland |
—
|
NE NERFINISHED |
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: Primeval World Diorama at Disneyland | Statement: [Magic Skyway, technologyReuse, Primeval World Diorama at Disneyland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyReuse Context triple: [Magic Skyway, technologyReuse, Primeval World Diorama at Disneyland]
-
A.
infrastructureReuse
Indicates that existing infrastructure is being used again for a new or continued purpose instead of building or deploying entirely new infrastructure.
-
B.
technologyUse
Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
-
C.
usesRecycle
Indicates that an entity makes use of a recycling process, system, or materials as part of its actions or operations.
-
D.
reusabilityImpact
Indicates how the ability to reuse something (such as a component, resource, or design) affects outcomes, performance, or other relevant factors in a given context.
-
E.
reusability
Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:36 a.m.