Triple
T22809761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staatsratsvorsitzender |
E564639
|
entity |
| Predicate | zeitlicheEinordnung |
P89854
|
FINISHED |
| Object | zweite Hälfte des 20. Jahrhunderts |
—
|
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: zweite Hälfte des 20. Jahrhunderts | Statement: [Staatsratsvorsitzender, zeitlicheEinordnung, zweite Hälfte des 20. Jahrhunderts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zeitlicheEinordnung Context triple: [Staatsratsvorsitzender, zeitlicheEinordnung, zweite Hälfte des 20. Jahrhunderts]
-
A.
chronologicalPoint
chosen
Indicates that something is associated with, occurs at, or is anchored to a specific point in time within a chronological sequence.
-
B.
temporal
Indicates a relationship that situates one event, state, or entity in time relative to another (e.g., before, after, or during).
-
C.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
D.
temporality
Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
-
E.
chronologicalSignificance
Indicates that one entity holds importance or relevance specifically due to its position, order, or timing within a chronological sequence relative to another.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5f1f348190a35e87939732c99f |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.