Triple
T4001513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1924 Constitution of Turkey |
E89423
|
entity |
| Predicate | languageDeclared |
P35092
|
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: [1924 Constitution of Turkey, languageDeclared, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageDeclared Context triple: [1924 Constitution of Turkey, languageDeclared, Turkish]
-
A.
languageDesigned
Indicates that one entity created or developed the language used or associated with another entity.
-
B.
languageName
Indicates the specific name assigned to a language in the relationship.
-
C.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
D.
languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
-
E.
languageIntroduced
chosen
Indicates that a particular language was brought into use or made known within a certain context, time, or place.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.