Triple
T4943034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Red Spot |
E110981
|
entity |
| Predicate | sizeTrend |
P60169
|
FINISHED |
| Object | shrinking over recent decades |
—
|
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: shrinking over recent decades | Statement: [Great Red Spot, sizeTrend, shrinking over recent decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeTrend Context triple: [Great Red Spot, sizeTrend, shrinking over recent decades]
-
A.
sizeIncreasedTo
Indicates that an entity’s size has changed and reached a specified larger value or magnitude.
-
B.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
C.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
D.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
E.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff85b50819081d78087caa6b473 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:31 p.m.