Triple
T31011458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bağçasaray |
E790218
|
entity |
| Predicate | ethnicLanguageNameIn |
P155517
|
FINISHED |
| Object | Crimean Tatar |
—
|
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: Crimean Tatar | Statement: [Bağçasaray, ethnicLanguageNameIn, Crimean Tatar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicLanguageNameIn Context triple: [Bağçasaray, ethnicLanguageNameIn, Crimean Tatar]
-
A.
ethnicGroupLanguageOf
chosen
Indicates that a particular language is spoken by, associated with, or characteristic of a given ethnic group.
-
B.
eraNameLanguage
Indicates the language in which an era name is expressed or recorded.
-
C.
ethnicLanguageStatus
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
-
D.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
E.
alternateLanguageName
Indicates that an entity has an additional name or label in a different language from its primary or default name.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:57 p.m.