Triple
T23957877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onua |
E603845
|
entity |
| Predicate | hasSpellingStatus |
P457
|
FINISHED |
| Object | variant 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: variant spelling | Statement: [Onua, hasSpellingStatus, variant spelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpellingStatus Context triple: [Onua, hasSpellingStatus, variant spelling]
-
A.
spellingStatus
Indicates the correctness or condition of the spelling of a given text or term.
-
B.
hasOrthographyStatus
Indicates the orthographic status or condition of how something is written or spelled, such as its conformity to a particular writing system or standard.
-
C.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
D.
hasVariantSpelling
chosen
Indicates that one term is an alternative spelling form of another term.
-
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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d85d348190946b578e1a1c3bcc |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:22 p.m.