Triple
T25572395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ural-batyr |
E641008
|
entity |
| Predicate | firstWrittenRecordLanguage |
P81235
|
FINISHED |
| Object | Bashkir language |
—
|
NE NERFINISHED |
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: Bashkir language | Statement: [Ural-batyr, firstWrittenRecordLanguage, Bashkir language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWrittenRecordLanguage Context triple: [Ural-batyr, firstWrittenRecordLanguage, Bashkir language]
-
A.
firstAppearanceLanguage
Indicates the language in which an entity (such as a work or character) was first introduced or appeared.
-
B.
firstEditionLanguage
Indicates the language in which a work was originally published in its first edition.
-
C.
firstWrittenDown
chosen
Indicates that an instance marks the earliest time or occasion when something was recorded in written form.
-
D.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
E.
createdInLanguage
Indicates that something was produced, authored, or developed using a particular language (natural or programming).
- 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_69e75dc281bc819095ec04dc0c3a94d0 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 21, 2026, 3:59 p.m.