Triple
T29528276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evening in the Village |
E749125
|
entity |
| Predicate | languageOfProgramNote |
P197591
|
FINISHED |
| Object | Hungarian |
—
|
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: Hungarian | Statement: [Evening in the Village, languageOfProgramNote, Hungarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfProgramNote Context triple: [Evening in the Village, languageOfProgramNote, Hungarian]
-
A.
programNameLanguage
Indicates that a program has a specific name in a particular language.
-
B.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
-
C.
primaryLanguageOfPrograms
Indicates that a given language is the main programming language used to implement or develop the specified programs.
-
D.
languageOfInstructions
Indicates that one entity specifies the language in which instructions or guidance are provided for another entity.
-
E.
programLanguage
Indicates that an entity is implemented, written, or expressed using a particular programming language.
- F. None of above. chosen
Provenance (4 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 28, 2026, 4:49 p.m.