Triple
T17199544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Βάκχαι |
E417440
|
entity |
| Predicate | originalPerformanceLanguage |
P35076
|
FINISHED |
| Object | Ancient Greek |
—
|
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: Ancient Greek | Statement: [Βάκχαι, originalPerformanceLanguage, Ancient Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPerformanceLanguage Context triple: [Βάκχαι, originalPerformanceLanguage, Ancient Greek]
-
A.
performedLanguage
Indicates that an action, work, or performance was carried out using a specified language.
-
B.
firstPerformanceLanguage
chosen
Indicates the language in which a work was originally performed for the first time.
-
C.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
D.
originalLanguageCountry
Indicates the country where a work’s original language is primarily spoken or officially used.
-
E.
originalLanguageOfWholeWork
Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daddcd08190a82f36c940bf3f7b |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.