Triple
T17080635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RBMK-1000 |
E414458
|
entity |
| Predicate | coreHeightApproximate |
P38193
|
FINISHED |
| Object | about 7 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 7 meters | Statement: [RBMK-1000, coreHeightApproximate, about 7 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreHeightApproximate Context triple: [RBMK-1000, coreHeightApproximate, about 7 meters]
-
A.
heightEstimate
chosen
Indicates an estimated or approximate value for the height of an entity, rather than a precisely measured height.
-
B.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
C.
estimatedHeadHeightInMeters
Indicates the estimated vertical height of a person's head, measured in meters.
-
D.
depthMetresApprox
Indicates an approximate measurement of how deep something is in metres, rather than an exact value.
-
E.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
- 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.