Triple
T8676562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaspard de la nuit |
E205929
|
entity |
| Predicate | languageOfSourceText |
P5459
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Gaspard de la nuit, languageOfSourceText, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSourceText Context triple: [Gaspard de la nuit, languageOfSourceText, French]
-
A.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
B.
originalTextLanguage
chosen
Indicates the language in which a text was originally written or created before any translation or adaptation.
-
C.
contentLanguage
Indicates the language in which the content is expressed or intended to be understood.
-
D.
languageTranslatedFrom
Indicates that a language is the source/original language from which content has been translated into another language.
-
E.
languageOfParentWork
Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.