Triple
T13029579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abstract Right |
E326396
|
entity |
| Predicate | originalTitleSection |
P13516
|
FINISHED |
| Object | Abstraktes Recht |
—
|
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: Abstraktes Recht | Statement: [Abstract Right, originalTitleSection, Abstraktes Recht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleSection Context triple: [Abstract Right, originalTitleSection, Abstraktes Recht]
-
A.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
B.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
C.
originalLanguageTitle
chosen
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
originalTitleAuthorName
Indicates that the associated name is the author of the work’s original title.
-
E.
originalTitleStatus
Indicates whether a work’s title is the original one or has been altered, translated, or otherwise modified from its initial form.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efd18308190877b3269403b36e2 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:54 p.m.