Triple
T27192687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wandlungen und Symbole der Libido |
E683515
|
entity |
| Predicate | volumeNumberInCollectedWorks |
P5040
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Wandlungen und Symbole der Libido, volumeNumberInCollectedWorks, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeNumberInCollectedWorks Context triple: [Wandlungen und Symbole der Libido, volumeNumberInCollectedWorks, 5]
-
A.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
B.
seriesVolumeNumber
chosen
Indicates the specific volume number assigned to an item within an ordered series.
-
C.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
D.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
E.
lightNovelVolumesCount
Indicates the number of volumes that exist for a given light novel.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625ac8e4c8190b44c30995739731f |
completed | May 2, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:33 a.m.