Triple
T34028252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Capricorni |
E872568
|
entity |
| Predicate | separationOnSky |
P60658
|
FINISHED |
| Object | about 0.1 degrees |
—
|
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 degrees | Statement: [Alpha Capricorni, separationOnSky, about 0.1 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separationOnSky Context triple: [Alpha Capricorni, separationOnSky, about 0.1 degrees]
-
A.
angularSeparationFrom
chosen
Indicates the angular distance between two entities as measured from a common observation point.
-
B.
separationSystem
Indicates a system or mechanism designed to separate or divide components, substances, or entities from one another.
-
C.
angularSeparationBetweenComplexes
Indicates the angular distance or orientation difference measured between two complexes.
-
D.
knownSeparation
Indicates that a separation or split between entities is recognized or has been established as a known fact.
-
E.
hasCompanionSeparation_arcsec
Indicates the angular separation, measured in arcseconds, between an object and its companion.
- 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.