Triple
T12984681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the world |
E321736
|
entity |
| Predicate | hasAverageRadius |
P2019
|
FINISHED |
| Object | about 6371 kilometers |
—
|
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 6371 kilometers | Statement: [the world, hasAverageRadius, about 6371 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageRadius Context triple: [the world, hasAverageRadius, about 6371 kilometers]
-
A.
hasMeanRadius
chosen
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
B.
averageDiameter
Indicates the mean value of the diameters of a set of objects or instances in the relationship.
-
C.
hasRadiusType
Indicates that an entity has a radius characterized by a specific type or classification.
-
D.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
E.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:40 p.m.