Triple
T6246246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Cancri |
E139727
|
entity |
| Predicate | angularSeparationOfMainPair_arcsec |
P60658
|
FINISHED |
| Object | about 0.1 |
—
|
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 0.1 | Statement: [Alpha Cancri, angularSeparationOfMainPair_arcsec, about 0.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angularSeparationOfMainPair_arcsec Context triple: [Alpha Cancri, angularSeparationOfMainPair_arcsec, about 0.1]
-
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.
hasSecondBrightestStar
Indicates that one entity possesses or is associated with another entity that is the second most luminous star within a specified group or system.
-
D.
angularSize
Indicates the apparent size of an object as seen from a given point, typically measured as the angle it subtends at the observer.
-
E.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631d9e648190a59ab4001f506424 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.