Triple
T4619058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaus Australis |
E100934
|
entity |
| Predicate | hasParallaxError_mas |
P52717
|
FINISHED |
| Object | 0.18 |
—
|
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: 0.18 | Statement: [Kaus Australis, hasParallaxError_mas, 0.18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParallaxError_mas Context triple: [Kaus Australis, hasParallaxError_mas, 0.18]
-
A.
parallax_mas
Indicates the apparent shift in an object's position on the sky, measured in milliarcseconds, due to the observer’s change in viewpoint (typically Earth’s orbit around the Sun).
-
B.
parallaxAccuracy
chosen
Indicates the degree of precision or reliability associated with a measured parallax value.
-
C.
parallax
Indicates the apparent shift in an object’s position relative to a background when observed from two different viewpoints or at two different times.
-
D.
hasMAD
Indicates that an entity possesses or is associated with a specific MAD (e.g., a minimum acceptable distance, mean absolute deviation, or similarly defined MAD-related measure).
-
E.
hasAberrationCharacteristics
Indicates that an entity exhibits traits or properties that deviate from what is considered normal, standard, or expected.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e3e6948190925e2cfad20dcc8c |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.