Triple
T13689989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carme group |
E328234
|
entity |
| Predicate | hasLargestMemberDiameter |
P7302
|
FINISHED |
| Object | about 46 km |
—
|
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: about 46 km | Statement: [Carme group, hasLargestMemberDiameter, about 46 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargestMemberDiameter Context triple: [Carme group, hasLargestMemberDiameter, about 46 km]
-
A.
hasDiameterClass
Indicates that an entity is associated with a specific category or range based on the size of its diameter.
-
B.
approximateDiameter
chosen
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
C.
structureDiameter
Indicates the measured diameter or width of a given structure.
-
D.
maximumTrunkDiameter
Indicates the largest thickness of a trunk measured across its widest point.
-
E.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6721c248190ac48491b5f39c8f0 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.