Triple
T32124656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gael |
E820464
|
entity |
| Predicate | ISOBasicLatin |
P173604
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Gael, ISOBasicLatin, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISOBasicLatin Context triple: [Gael, ISOBasicLatin, yes]
-
A.
ISOBasicLatinDerivative
Indicates that one entity is a derivative or variant form of another entity within the ISO Basic Latin character set.
-
B.
ISOBasicLatinOverlap
Indicates that two character sets or encodings share overlapping code points within the ISO Basic Latin (ASCII) range.
-
C.
ISOBasicLatinPosition
Indicates that something occupies a specific position within the ISO Basic Latin character set (typically the first 128 Unicode code points).
-
D.
usesBasicMultilingualPlane
Indicates that the subject operates within or is limited to the Unicode Basic Multilingual Plane (the first 65,536 code points), rather than using supplementary planes.
-
E.
alphabetSizeLatin
Indicates the number of distinct letters in the Latin alphabet used in a given context or system.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96a22d48190aba271c414a1d926 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:29 a.m.