Triple
T29027977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanisches Liederbuch |
E737647
|
entity |
| Predicate | numberOfSongsInPart |
P200959
|
FINISHED |
| Object | 10 Geistliche Lieder |
—
|
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: 10 Geistliche Lieder | Statement: [Spanisches Liederbuch, numberOfSongsInPart, 10 Geistliche Lieder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSongsInPart Context triple: [Spanisches Liederbuch, numberOfSongsInPart, 10 Geistliche Lieder]
-
A.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
B.
secondPartNumberOfSongs
Indicates that the subject entity has a second part whose number of songs is given by the object value.
-
C.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
D.
partOfSongCycleBy
Indicates that a song is a component or movement within a larger song cycle created by a specified composer or artist.
-
E.
hasNumberOfPartsInWholeWork
Indicates that an entity specifies how many component parts are contained within a complete work.
- F. None of above. chosen
Provenance (4 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
| PDg | Predicate description generation | batch_69ffbe9c7c348190b6b72455d6a3e3d8 |
completed | May 9, 2026, 11:09 p.m. |
Created at: April 28, 2026, 9:53 a.m.