Triple
T3729474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20000 Varuna |
E79025
|
entity |
| Predicate | dynamicalClass |
P17318
|
FINISHED |
| Object | hot classical Kuiper Belt object |
—
|
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: hot classical Kuiper Belt object | Statement: [20000 Varuna, dynamicalClass, hot classical Kuiper Belt object]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dynamicalClass Context triple: [20000 Varuna, dynamicalClass, hot classical Kuiper Belt object]
-
A.
hasDynamicalClass
chosen
Indicates that an entity belongs to a specific category defined by its dynamical or motion-related behavior (e.g., orbital or kinematic characteristics).
-
B.
crystalClass
Indicates the crystallographic symmetry class or system to which a crystal or mineral belongs.
-
C.
definesClassification
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
-
D.
computationalClass
Indicates that two entities share the same computational complexity class or that one entity is categorized within a specified computational complexity class.
-
E.
displacementClass
Indicates the category or type of physical displacement associated with an entity or event, typically grouping similar kinds or magnitudes of movement into a common class.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb17432881909390284b935ed3fd |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.