Triple
T20479550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerealia Tholus |
E502414
|
entity |
| Predicate | brightnessCause |
P95702
|
FINISHED |
| Object | exposed salts |
—
|
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: exposed salts | Statement: [Cerealia Tholus, brightnessCause, exposed salts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brightnessCause Context triple: [Cerealia Tholus, brightnessCause, exposed salts]
-
A.
reasonForBrightness
chosen
Indicates the cause or explanation for why something is bright or has a certain level of brightness.
-
B.
brightnessVariation
Indicates a change or fluctuation in the level of brightness of an entity over time or across conditions.
-
C.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
D.
lightOrganFunction
Indicates that one entity serves as the functional light-producing organ or structure for another entity.
-
E.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b55d7a881909dfe3ea0e74b742b |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:34 a.m.