Triple
T5201674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titania |
E117406
|
entity |
| Predicate | albedoGeometric |
P2046
|
FINISHED |
| Object | 0.27 |
—
|
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: 0.27 | Statement: [Titania, albedoGeometric, 0.27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: albedoGeometric Context triple: [Titania, albedoGeometric, 0.27]
-
A.
hasAlbedo
chosen
Indicates that an entity possesses a specific reflectivity or albedo value, describing how much incoming light it reflects.
-
B.
apparentBrightness
Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
-
C.
opticalProperty
Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
-
D.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
-
E.
symbolOfRadiantExitance
Indicates a relationship where something serves as a visual or symbolic representation of emitted radiant energy or light output.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.