Triple
T21813463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daymian |
E538534
|
entity |
| Predicate | typicalSpellingType |
P85535
|
FINISHED |
| Object | creative spelling |
—
|
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: creative spelling | Statement: [Daymian, typicalSpellingType, creative spelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpellingType Context triple: [Daymian, typicalSpellingType, creative spelling]
-
A.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
B.
spellingStyle
chosen
Indicates the particular orthographic convention or system of spelling that is used or preferred in a given context.
-
C.
spellingStatus
Indicates the correctness or condition of the spelling of a given text or term.
-
D.
usesStandardOrthographyOf
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
-
E.
spellingStability
Indicates the degree to which the spelling of a word or term remains consistent over time or across different uses.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc8e6808190bde4d0e0981e4117 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.