Triple
T17080636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RBMK-1000 |
E414458
|
entity |
| Predicate | coreDiameterApproximate |
P7302
|
FINISHED |
| Object | about 12 meters |
—
|
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 12 meters | Statement: [RBMK-1000, coreDiameterApproximate, about 12 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreDiameterApproximate Context triple: [RBMK-1000, coreDiameterApproximate, about 12 meters]
-
A.
approximateDiameter
chosen
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
B.
coreStageDiameter
Indicates the diameter measurement of the central or primary stage of an object or system.
-
C.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
-
D.
bodyDiameter
Indicates the measurement of how wide an object's body is across its broadest cross-section.
-
E.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe2fe7c819099ab0586b1a119f6 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.