Triple
T992620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceres |
E21423
|
entity |
| Predicate | isLargestObjectIn |
P4495
|
FINISHED |
| Object | asteroid belt |
—
|
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: asteroid belt | Statement: [Ceres, isLargestObjectIn, asteroid belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestObjectIn Context triple: [Ceres, isLargestObjectIn, asteroid belt]
-
A.
isLargestOf
chosen
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
B.
largestFigureLengthApprox
Indicates an approximate measurement of the length of the largest figure involved in the relationship or context.
-
C.
createdOneOfLargest
Indicates that an entity is responsible for creating something that ranks among the largest within a given group or category.
-
D.
isMassive
Indicates that one entity has an extremely large size, scale, or extent relative to typical or comparable entities.
-
E.
isOneOfTallestIn
Indicates that an entity is among the tallest members within a specified group, set, or location.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.