Triple
T3724033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varuna |
E81704
|
entity |
| Predicate | belongsToPopulation |
P51233
|
FINISHED |
| Object | hot classical Kuiper Belt population |
—
|
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 population | Statement: [Varuna, belongsToPopulation, hot classical Kuiper Belt population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPopulation Context triple: [Varuna, belongsToPopulation, hot classical Kuiper Belt population]
-
A.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
B.
belongsToGeneration
Indicates that an entity is associated with, classified within, or a member of a particular generation or generational group.
-
C.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
D.
belongsToSpeciesWithTrait
Indicates that an entity is a member of a species that possesses a specified trait.
-
E.
requiresPopulationCalculation
Indicates that determining or performing a population-related calculation is necessary for the associated entity or process.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf3f2ec8190a3a8f363cfb762f3 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc0452f5081909c79e114a86cce8c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc226fffc81909c679b44e611fee6 |
completed | March 8, 2026, 6:38 p.m. |
Created at: March 8, 2026, 3:34 p.m.