Triple
T406408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundestag |
E9392
|
entity |
| Predicate | canBeDissolvedUnder |
P133
|
FINISHED |
| Object | specific conditions defined in the Basic Law |
—
|
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: specific conditions defined in the Basic Law | Statement: [Bundestag, canBeDissolvedUnder, specific conditions defined in the Basic Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeDissolvedUnder Context triple: [Bundestag, canBeDissolvedUnder, specific conditions defined in the Basic Law]
-
A.
dissolved
Indicates that one substance has been mixed into another so thoroughly that it forms a uniform solution and is no longer distinguishable as a separate phase.
-
B.
dissolvedOrAbolished
chosen
Indicates that an organization, institution, or formal entity has been officially terminated, disbanded, or ceased to exist.
-
C.
materialMelted
Indicates that a material has undergone melting, transitioning from a solid to a liquid state.
-
D.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
-
E.
canBeRemovedBy
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbc00508190bbb602179273f29c |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.