Triple
T24438713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murck |
E616195
|
entity |
| Predicate | partOfWorkSetting |
P62462
|
FINISHED |
| Object | post–World War I Germany |
—
|
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: post–World War I Germany | Statement: [Murck, partOfWorkSetting, post–World War I Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWorkSetting Context triple: [Murck, partOfWorkSetting, post–World War I Germany]
-
A.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
B.
partOfWorkStructure
chosen
Indicates that one work-related component, role, or task is included within or belongs to a larger organizational or work structure.
-
C.
partialSettingOf
Indicates that one entity establishes or configures only some aspects or components of another entity, rather than defining it completely.
-
D.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
E.
workSetting
Indicates the environment, context, or conditions in which the work or activity is carried out.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f297891f108190a98e55c900494d30 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.