Triple
T188922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode |
E3674
|
entity |
| Predicate | codeSpaceRange |
P5708
|
FINISHED |
| Object | U+0000 to U+10FFFF |
—
|
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: U+0000 to U+10FFFF | Statement: [Unicode, codeSpaceRange, U+0000 to U+10FFFF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeSpaceRange Context triple: [Unicode, codeSpaceRange, U+0000 to U+10FFFF]
-
A.
nativeRange
Indicates the geographic area where an entity naturally occurs or originated without human introduction.
-
B.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
C.
subrange
Indicates that one value or interval lies entirely within the bounds of another value or interval.
-
D.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
E.
hostRange
Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594abeec8190a48f36817e647fcd |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25672332081909386f35f3ca15dd2 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25738b5108190866fd704fceee18a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.