Triple
T19261483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega Centauri |
E481658
|
entity |
| Predicate | linearDiameter_ly |
P132075
|
FINISHED |
| Object | about 150 light-years |
—
|
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 150 light-years | Statement: [Omega Centauri, linearDiameter_ly, about 150 light-years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linearDiameter_ly Context triple: [Omega Centauri, linearDiameter_ly, about 150 light-years]
-
A.
diameter_lightYears
chosen
Indicates the distance across an object or region measured in light-years, typically from one side through the center to the opposite side.
-
B.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
C.
coreRadius_ly
Indicates the radius of an object's core region measured in light-years.
-
D.
averageDiameter
Indicates the mean value of the diameters of a set of objects or instances in the relationship.
-
E.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.