Triple
T11752880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | territoriale Neuordnung der Bundesrepublik Deutschland |
E279450
|
entity |
| Predicate | zeitlichEinzuordnen |
P64790
|
FINISHED |
| Object | Ende der 1980er Jahre |
—
|
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: Ende der 1980er Jahre | Statement: [territoriale Neuordnung der Bundesrepublik Deutschland, zeitlichEinzuordnen, Ende der 1980er Jahre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zeitlichEinzuordnen Context triple: [territoriale Neuordnung der Bundesrepublik Deutschland, zeitlichEinzuordnen, Ende der 1980er Jahre]
-
A.
temporal
Indicates a relationship that situates one event, state, or entity in time relative to another (e.g., before, after, or during).
-
B.
temporality
Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
-
C.
temporalAspect
Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
-
D.
timeDefinite
Indicates that the associated event or state occurs at a clearly specified, fixed point or interval in time.
-
E.
hasTemporalClassification
chosen
Indicates a relationship where something is assigned or associated with a specific temporal category, period, or time-based classification.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.