Triple
T18444448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iphigénie en Aulide |
E450619
|
entity |
| Predicate | revisionLanguage |
P96990
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [Iphigénie en Aulide, revisionLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisionLanguage Context triple: [Iphigénie en Aulide, revisionLanguage, German]
-
A.
revisionOf
Indicates that one entity is a modified or updated version of another earlier entity.
-
B.
languageReform
Indicates efforts or actions aimed at changing, standardizing, or improving aspects of a language, such as its spelling, grammar, or usage rules.
-
C.
verseLanguage
Indicates the language in which a verse is written or expressed.
-
D.
editedLanguage
chosen
Indicates that one entity has revised, modified, or otherwise edited the language or linguistic content of another entity.
-
E.
languageRevived
Indicates that a previously endangered or no-longer-spoken language has been brought back into active use within a community.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c142abc8190b4f6f938acdc413d |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.