Triple
T6094966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saiph |
E135853
|
entity |
| Predicate | hasPhotosphere |
P68086
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Saiph, hasPhotosphere, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotosphere Context triple: [Saiph, hasPhotosphere, yes]
-
A.
hasPhotonSphere
Indicates that an object (typically a massive, compact body) possesses a region where photons can orbit it on closed or nearly closed paths due to its gravitational field.
-
B.
hasPhotoSpot
Indicates that a location or entity includes or is associated with a designated place suitable for taking photographs.
-
C.
hasPhotoFeature
Indicates that an entity possesses a characteristic, capability, or option specifically related to photos or photography.
-
D.
hasExosphere
Indicates that an astronomical body possesses an exosphere, the outermost, extremely thin layer of its atmosphere.
-
E.
hasHeliosphere
Indicates that an object possesses a surrounding region of space dominated by its own stellar wind and magnetic field, known as a heliosphere.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a963bac8190bc0c33fef187875c |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.