Triple
T21605033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 108248 |
E533148
|
entity |
| Predicate | visualCompanionSeparation_arcsec |
P69289
|
FINISHED |
| Object | about 4 |
—
|
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 4 | Statement: [HD 108248, visualCompanionSeparation_arcsec, about 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualCompanionSeparation_arcsec Context triple: [HD 108248, visualCompanionSeparation_arcsec, about 4]
-
A.
hasCompanionSeparation_arcsec
chosen
Indicates the angular separation, measured in arcseconds, between an object and its companion.
-
B.
angularSeparationFrom
Indicates the angular distance between two entities as measured from a common observation point.
-
C.
angularSeparationBetweenComplexes
Indicates the angular distance or orientation difference measured between two complexes.
-
D.
separationFromPollux_deg
Indicates the angular separation, measured in degrees, between an object and the star Pollux.
-
E.
minorAxisAngularSize_arcmin
Indicates the apparent angular size, measured in arcminutes, of the minor axis of an object as seen on the sky.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e4a8088190bf51ab2af2369762 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.