Triple
T19706091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rucapillán |
E473216
|
entity |
| Predicate | hasCraterDiameterApprox |
P18831
|
FINISHED |
| Object | 200 m to 300 m |
—
|
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: 200 m to 300 m | Statement: [Rucapillán, hasCraterDiameterApprox, 200 m to 300 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCraterDiameterApprox Context triple: [Rucapillán, hasCraterDiameterApprox, 200 m to 300 m]
-
A.
craterDiameter
chosen
Indicates the measured width of a crater from one rim edge to the opposite rim edge.
-
B.
hasCrater
Indicates that one entity possesses or features a crater on its surface.
-
C.
hasCraterLength
Indicates the measured linear extent or size of a crater along its longest dimension.
-
D.
hasSatelliteCrater
Indicates that one crater is a secondary or subsidiary crater associated with, and typically located near, another primary crater.
-
E.
hasCraterDensity
Indicates a relationship where an entity is characterized by a specific density or concentration of craters on its surface.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642ba4bd08190b016b8c6664079c4 |
completed | April 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.