Triple
T13426442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rally Turkey |
E313492
|
entity |
| Predicate | languageOfLocalOrganisation |
P51016
|
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: [Rally Turkey, languageOfLocalOrganisation, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLocalOrganisation Context triple: [Rally Turkey, languageOfLocalOrganisation, Turkish]
-
A.
languageOfLocalOrganization
chosen
Indicates the language used or officially adopted by a local organization in its operations or communications.
-
B.
languageOfLocalOrganisingCommittee
Indicates the language used by the local organising committee to conduct its activities, communication, and official documentation.
-
C.
languageOfLocalization
Indicates the language into which something (such as software, content, or an interface) has been localized for use or display.
-
D.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
E.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed1f9208190bf5ef5b8a7ded376 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.