Triple
T21884314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 37742 |
E540365
|
entity |
| Predicate | angularSeparationFromComponentC_arcsec |
P60658
|
FINISHED |
| Object | about 57 |
—
|
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 57 | Statement: [HD 37742, angularSeparationFromComponentC_arcsec, about 57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angularSeparationFromComponentC_arcsec Context triple: [HD 37742, angularSeparationFromComponentC_arcsec, about 57]
-
A.
angularSeparationFrom
chosen
Indicates the angular distance between two entities as measured from a common observation point.
-
B.
angularSeparationBetweenComplexes
Indicates the angular distance or orientation difference measured between two complexes.
-
C.
hasCompanionSeparation_arcsec
Indicates the angular separation, measured in arcseconds, between an object and its companion.
-
D.
minorAxisAngularSize_arcmin
Indicates the apparent angular size, measured in arcminutes, of the minor axis of an object as seen on the sky.
-
E.
angularSize
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.