Triple
T29028024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italienisches Liederbuch |
E737648
|
entity |
| Predicate | firstPartNumberOfSongs |
P200959
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Italienisches Liederbuch, firstPartNumberOfSongs, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPartNumberOfSongs Context triple: [Italienisches Liederbuch, firstPartNumberOfSongs, 22]
-
A.
secondPartNumberOfSongs
Indicates that the subject entity has a second part whose number of songs is given by the object value.
-
B.
numberOfSongsInPart
chosen
Indicates the total count of songs contained within a specific part or section of a larger work or collection.
-
C.
firstSong
Indicates that one song is the earliest or initial song in a specified sequence, collection, or context.
-
D.
keyOfFirstSong
Indicates the musical key in which the first song in a sequence, collection, or recording is set.
-
E.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: April 28, 2026, 9:53 a.m.