Triple
T26412649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tethys Trojan moons |
E664001
|
entity |
| Predicate | areMuchSmallerThan |
P11452
|
FINISHED |
| Object | Tethys |
—
|
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: Tethys | Statement: [Tethys Trojan moons, areMuchSmallerThan, Tethys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areMuchSmallerThan Context triple: [Tethys Trojan moons, areMuchSmallerThan, Tethys]
-
A.
smallerThan
chosen
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
B.
isSmallestOf
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
C.
hasSmallerAmountThan
Indicates that the quantity or amount associated with one entity is less than the quantity or amount associated with another entity.
-
D.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
E.
variesLessThan
Indicates that the degree or amount of change in one quantity is smaller than the degree or amount of change in another quantity.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f611325fd48190898639883fb113fd |
completed | May 2, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:39 p.m.