Triple
T10903229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn IX |
E257499
|
entity |
| Predicate | possibleType |
P16808
|
FINISHED |
| Object | captured centaur or Kuiper belt object |
—
|
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: captured centaur or Kuiper belt object | Statement: [Saturn IX, possibleType, captured centaur or Kuiper belt object]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleType Context triple: [Saturn IX, possibleType, captured centaur or Kuiper belt object]
-
A.
possibleFunction
Indicates that an entity may serve, or is capable of serving, a particular function or role, without asserting that it actually does so.
-
B.
specType
Indicates the specific type or category of a specification that an entity is associated with.
-
C.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
E.
slotType
Indicates the classification or category assigned to a particular slot or position within a structure, system, or sequence.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a4e9d48190b107839761a2152b |
completed | April 9, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.