Triple
T2576968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Convention (Germany) |
E56998
|
entity |
| Predicate | stateDelegationsReflect |
P39903
|
FINISHED |
| Object | party strength in each Landtag |
—
|
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: party strength in each Landtag | Statement: [Federal Convention (Germany), stateDelegationsReflect, party strength in each Landtag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateDelegationsReflect Context triple: [Federal Convention (Germany), stateDelegationsReflect, party strength in each Landtag]
-
A.
stateDelegation
Indicates that authority, responsibility, or decision-making power is transferred from a state-level entity to another entity to act on its behalf.
-
B.
representedState
Indicates that one entity serves as a representation or depiction of the state or condition of another entity.
-
C.
hasSpecialDelegatesPerProvince
Indicates that a given entity is associated with a specific number or set of special delegates allocated for each province.
-
D.
employerDelegatesPerState
Indicates that an employer assigns or authorizes delegates or representatives separately for each state or jurisdiction.
-
E.
servesStateOrDistrict
Indicates that an entity holds a role or position in service to a specific state or electoral district.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a73a508190bf12e889a5d4bbf3 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd251b48c8190862c7b39ea1bf8ea |
completed | March 7, 2026, 7:22 a.m. |
Created at: March 6, 2026, 9:49 p.m.