Triple
T28729901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassini radar altimetry |
E730626
|
entity |
| Predicate | requiresCorrectionFor |
P193411
|
FINISHED |
| Object | spacecraft motion |
—
|
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: spacecraft motion | Statement: [Cassini radar altimetry, requiresCorrectionFor, spacecraft motion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresCorrectionFor Context triple: [Cassini radar altimetry, requiresCorrectionFor, spacecraft motion]
-
A.
requiresCorrection
Indicates that something is identified as needing modification, adjustment, or fixing to correct an error or deficiency.
-
B.
includesCorrectionsFor
Indicates that one item contains modifications, fixes, or amendments that address errors or issues present in another item.
-
C.
correctionType
Indicates the specific kind or category of correction that has been applied to or associated with an entity or action.
-
D.
canBeCorrectedBy
Indicates that something has the potential to be made accurate, fixed, or improved through the intervention or action of a specified agent or method.
-
E.
seeksToCorrect
Indicates an intentional effort by one entity to identify and remedy an error, flaw, or undesirable state in another entity or situation.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
| PDg | Predicate description generation | batch_69fd474a71648190b6b6ae4991db81b1 |
completed | May 8, 2026, 2:15 a.m. |
Created at: April 28, 2026, 5:58 a.m.