Triple
T9527392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirin |
E229793
|
entity |
| Predicate | hasVariantInLanguage |
P64249
|
FINISHED |
| Object | Turkish |
—
|
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: Turkish | Statement: [Shirin, hasVariantInLanguage, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariantInLanguage Context triple: [Shirin, hasVariantInLanguage, Turkish]
-
A.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
B.
languageOfVariant
chosen
Indicates that one entity is the language in which a particular variant or version of another entity is expressed.
-
C.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
D.
hasLinguisticVariety
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
E.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.