Triple
T22355579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achernar |
E552642
|
entity |
| Predicate | hasEquatorialToPolarRadiusRatio |
P147889
|
FINISHED |
| Object | about 1.5 |
—
|
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 1.5 | Statement: [Achernar, hasEquatorialToPolarRadiusRatio, about 1.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEquatorialToPolarRadiusRatio Context triple: [Achernar, hasEquatorialToPolarRadiusRatio, about 1.5]
-
A.
hasEquatorialRadius
Indicates that an entity has a specified radius measured at its equator.
-
B.
hasPolarRadius
Indicates that an entity possesses a specific radius measured from its center to its pole, typically used for spheroidal or planetary bodies.
-
C.
hasEquatorialCircumference
Indicates that one entity has a specified measurement for its circumference at the equator.
-
D.
polarRadius_km
Indicates the length of an object's radius from its center to a pole, measured in kilometers.
-
E.
hasPolarDiameter_km
Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
- F. None of above. chosen
Provenance (4 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157cf94508190b0f2c63ddfecb813 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.