Triple
T38073504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsche Rentenversicherung |
E950646
|
entity |
| Predicate | boardRepresentation |
P184373
|
FINISHED |
| Object | employers and insured persons |
—
|
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: employers and insured persons | Statement: [Deutsche Rentenversicherung, boardRepresentation, employers and insured persons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardRepresentation Context triple: [Deutsche Rentenversicherung, boardRepresentation, employers and insured persons]
-
A.
boardPosition
Indicates the specific role, title, or seat an individual holds on a formal board or governing body.
-
B.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
C.
hasBoardRepresentationType
chosen
Indicates that an entity has a specific form or category of representation on a board or governing body.
-
D.
representsCricketBoard
Indicates that one entity serves as the official governing or administrative cricket board for another entity (such as a team, region, or country).
-
E.
boardProperties
Indicates a relationship where specific attributes or characteristics are assigned to or associated with a board.
- 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:21 p.m.