Triple
T30889365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Songs on Chinese Poetry, Op. 25 |
E786854
|
entity |
| Predicate | textLanguageSource |
P2925
|
FINISHED |
| Object | Chinese poetry |
—
|
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: Chinese poetry | Statement: [Four Songs on Chinese Poetry, Op. 25, textLanguageSource, Chinese poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textLanguageSource Context triple: [Four Songs on Chinese Poetry, Op. 25, textLanguageSource, Chinese poetry]
-
A.
languageOfSources
chosen
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
B.
sourceLanguageMeaning
Indicates that one entity expresses the meaning or sense of another entity in a particular source language.
-
C.
originalTextLanguage
Indicates the language in which a text was originally written or created before any translation or adaptation.
-
D.
sourceLanguageRegion
Indicates the geographic or cultural region associated with the language from which something originates or is derived.
-
E.
translationSource
Indicates that one entity serves as the original text or content from which another entity is translated.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69207e29081909ecef6eabcd3f2d1 |
completed | May 3, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:49 p.m.