Triple
T6051330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkskammer |
E134799
|
entity |
| Predicate | typeOfStateOrgan |
P51318
|
FINISHED |
| Object | organ of state power |
—
|
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: organ of state power | Statement: [Volkskammer, typeOfStateOrgan, organ of state power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStateOrgan Context triple: [Volkskammer, typeOfStateOrgan, organ of state power]
-
A.
typeOfState
Indicates that one state is a specific kind or category of another, more general state.
-
B.
organType
chosen
Indicates that one entity is classified as a specific type or category of organ in relation to another entity.
-
C.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
D.
governingBodyOfType
Indicates that an entity serves as the official governing body for another entity of a specified type or category.
-
E.
governmentalUnitType
Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f66cb08190a782cdd038f26b93 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.