Triple
T36865188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Loewenberg |
E911055
|
entity |
| Predicate | originalTitleOfWorkAppearsIn |
P199085
|
FINISHED |
| Object | Altneuland |
E145360
|
NE 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: Altneuland | Statement: [Friedrich Loewenberg, originalTitleOfWorkAppearsIn, Altneuland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleOfWorkAppearsIn Context triple: [Friedrich Loewenberg, originalTitleOfWorkAppearsIn, Altneuland]
-
A.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
B.
hasTitleInOriginalWork
Indicates that an entity holds a specific title or designation within its original work or source context.
-
C.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
D.
originalTitleUsedIn
chosen
Indicates that an entity’s original title is used in or associated with a particular work, edition, or context.
-
E.
originalTitleAuthorName
Indicates that the associated name is the author of the work’s original title.
- F. None of above.
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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c226f6881908738a1cf6f394f66 |
completed | June 26, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.