Triple
T34784422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Liebe auf dem Lande |
E1002763
|
entity |
| Predicate | hasSpokenText |
P80383
|
FINISHED |
| Object | German dialogue |
—
|
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 dialogue | Statement: [Die Liebe auf dem Lande, hasSpokenText, German dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenText Context triple: [Die Liebe auf dem Lande, hasSpokenText, German dialogue]
-
A.
hasSpokenSampleBy
Indicates that an entity has a spoken or audio sample that was produced or performed by a specified agent.
-
B.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
C.
hasSpokenStandard
Indicates that an entity has spoken using a recognized standard form of a language (e.g., standard dialect or official register).
-
D.
hasSpokenWordIntro
Indicates that an entity includes or features an introductory segment performed in spoken word form.
-
E.
isSpoken
chosen
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 3, 2026, 3:59 p.m.