Triple
T6287434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldebaran planetary system |
E140933
|
entity |
| Predicate | hostStarParallax |
P24833
|
FINISHED |
| Object | about 50 milliarcseconds |
—
|
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: about 50 milliarcseconds | Statement: [Aldebaran planetary system, hostStarParallax, about 50 milliarcseconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostStarParallax Context triple: [Aldebaran planetary system, hostStarParallax, about 50 milliarcseconds]
-
A.
parallax_mas
chosen
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.
hostStar
Indicates that one celestial object serves as the primary star around which another object, such as a planet or system, is associated or orbits.
-
C.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
D.
hostStarType
Indicates the classification of the star that serves as the primary host for an object, such as a planet or planetary system.
-
E.
hipparcosNumber
Indicates the identifier assigned to a star in the Hipparcos astrometric catalog.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ff9f74819088dc603f56fc930c |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.