Triple
T11574219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erste Kammer |
E274461
|
entity |
| Predicate | conceptualScope |
P100397
|
FINISHED |
| Object | generic term, not a single specific institution |
—
|
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: generic term, not a single specific institution | Statement: [Erste Kammer, conceptualScope, generic term, not a single specific institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conceptualScope Context triple: [Erste Kammer, conceptualScope, generic term, not a single specific institution]
-
A.
conceptualMeaning
Indicates the abstract idea, concept, or underlying significance that something represents or conveys.
-
B.
categoryConcept
Indicates that one entity serves as a categorical type or conceptual class under which the other entity is grouped or classified.
-
C.
isConceptual
Indicates that something exists as an abstract or theoretical idea rather than as a concrete, physical entity.
-
D.
thematicConcept
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
E.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89048120c81908258f984711f7dd4 |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.