Triple
T1137441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyrillic Extended-B |
E23171
|
entity |
| Predicate | rangeSize |
P26442
|
FINISHED |
| Object | 96 code points |
—
|
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: 96 code points | Statement: [Cyrillic Extended-B, rangeSize, 96 code points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeSize Context triple: [Cyrillic Extended-B, rangeSize, 96 code points]
-
A.
range
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
-
B.
rangeType
Indicates the type or category of values that can appear in the range (output) position of a property or relation.
-
C.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
D.
rangeCapability
Indicates the maximum distance or extent over which an entity can effectively operate, function, or exert its effect.
-
E.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bddfa598819088690e1ab010ba0b |
completed | March 1, 2026, 10:29 p.m. |
Created at: March 1, 2026, 7:44 p.m.