Triple
T2042632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syr Darya |
E44777
|
entity |
| Predicate | languageName_Tajik |
P13426
|
FINISHED |
| Object | Сирдарё |
—
|
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: Сирдарё | Statement: [Syr Darya, languageName_Tajik, Сирдарё]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageName_Tajik Context triple: [Syr Darya, languageName_Tajik, Сирдарё]
-
A.
languageNameInTurkish
Indicates that the predicate specifies the name of a given language as it is written or spoken in Turkish.
-
B.
languageName
chosen
Indicates the specific name assigned to a language in the relationship.
-
C.
languageForm
Indicates the specific linguistic form or expression in which something is conveyed or represented.
-
D.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
E.
isWorkingLanguageOf
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.