Triple
T16183997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rote Insel |
E392751
|
entity |
| Predicate | historicalPoliticalProfile |
P122049
|
FINISHED |
| Object | left-leaning milieu |
—
|
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: left-leaning milieu | Statement: [Rote Insel, historicalPoliticalProfile, left-leaning milieu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPoliticalProfile Context triple: [Rote Insel, historicalPoliticalProfile, left-leaning milieu]
-
A.
historicalRepresentative
Indicates that one entity serves or served as an official representative or delegate of another entity in a historical context.
-
B.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
C.
politicalLegacyIncludes
Indicates that one entity’s political legacy encompasses, influences, or is carried forward by another entity.
-
D.
politicalSystemHistorical
Indicates a relationship where a political system is characterized or analyzed in terms of its historical development, context, or evolution.
-
E.
historicalPeople
Indicates that the related entities are people who lived in or are associated with a past historical period or context.
- F. None of above. chosen
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.