Triple
T18458266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 55636 2002 TX300 |
E450960
|
entity |
| Predicate | hasHighAlbedo |
P131720
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [55636 2002 TX300, hasHighAlbedo, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighAlbedo Context triple: [55636 2002 TX300, hasHighAlbedo, true]
-
A.
hasAlbedo
Indicates that an entity possesses a specific reflectivity or albedo value, describing how much incoming light it reflects.
-
B.
albedoType
Indicates the type or classification of an object's albedo, specifying the nature or category of its reflectivity characteristics.
-
C.
hasAlbedoFeatureName
Indicates that an entity has or is associated with a specific named albedo (surface reflectivity) feature.
-
D.
albedoContrast
Indicates the degree to which two surfaces or regions differ in their reflectivity (albedo), typically highlighting contrast in brightness.
-
E.
hasVeryLowSurfaceBrightness
Indicates that an entity exhibits an extremely faint or low level of brightness across its visible surface.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.