Triple
T22228484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epsilon Orionis |
E549405
|
entity |
| Predicate | hasRadius_solarRadii |
P57022
|
FINISHED |
| Object | about 32 |
—
|
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 32 | Statement: [Epsilon Orionis, hasRadius_solarRadii, about 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRadius_solarRadii Context triple: [Epsilon Orionis, hasRadius_solarRadii, about 32]
-
A.
hasRadius_solarRadius
chosen
Indicates that an entity has a radius whose value is expressed in units of the Sun’s radius.
-
B.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
C.
meanOrbitalRadius_km
Indicates the average distance, measured in kilometers, between an orbiting body and the center of the object it orbits.
-
D.
coreRadius_ly
Indicates the radius of an object's core region measured in light-years.
-
E.
polarRadius_km
Indicates the length of an object's radius from its center to a pole, measured in kilometers.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf0a03c8190ac4717cce902b2cd |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.