Triple
T34717759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syria at International Mathematical Olympiad |
E1000824
|
entity |
| Predicate | languageOfProblems |
P40965
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Syria at International Mathematical Olympiad, languageOfProblems, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfProblems Context triple: [Syria at International Mathematical Olympiad, languageOfProblems, English]
-
A.
languageOfIssue
Indicates the language in which a particular item, document, or resource is issued or published.
-
B.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
-
C.
languageOfSubmissions
chosen
Indicates the language in which the submissions are written or communicated.
-
D.
languageOfContestants
Indicates the language used or spoken by the contestants in a given contest or competition.
-
E.
languageSubject
Indicates that a particular language is the subject or topic being studied, discussed, or otherwise focused on in relation to another entity.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 3, 2026, 3:59 p.m.