Triple
T4943218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sputnik Planitia |
E110985
|
entity |
| Predicate | polygonCellsCause |
P60172
|
FINISHED |
| Object | convection in nitrogen ice |
—
|
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: convection in nitrogen ice | Statement: [Sputnik Planitia, polygonCellsCause, convection in nitrogen ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: polygonCellsCause Context triple: [Sputnik Planitia, polygonCellsCause, convection in nitrogen ice]
-
A.
numberOfCells
Indicates the total count of individual cells associated with or contained in a given entity.
-
B.
hasRelatedPolygon
Indicates that one entity is associated with another entity that is represented or defined as a polygon.
-
C.
leafPoints
Indicates that one leaf or leaf-like structure is oriented or directed toward, or points at, another entity.
-
D.
cellStates
Indicates the various conditions or phases that a cell can be in at a given time.
-
E.
numberOfHoles
Indicates the count of holes associated with or present in a given 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.