Triple
T22383169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plenary Chamber |
E553324
|
entity |
| Predicate | hasFormerPrimaryUser |
P45212
|
FINISHED |
| Object | Members of the German Bundestag |
—
|
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: Members of the German Bundestag | Statement: [Plenary Chamber, hasFormerPrimaryUser, Members of the German Bundestag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerPrimaryUser Context triple: [Plenary Chamber, hasFormerPrimaryUser, Members of the German Bundestag]
-
A.
hasFormerPrimaryTenant
chosen
Indicates that an entity previously served as the main or principal tenant of another entity, but no longer holds that status.
-
B.
hasFormerIdentity
Indicates that an entity previously had a different identity, name, or role before its current one.
-
C.
hasSecondaryUser
Indicates that an entity is associated with an additional, non-primary user who also has access to or control over it.
-
D.
hasFormerParticipant
Indicates that an entity once participated in an activity, event, or organization but is no longer a current participant.
-
E.
hasFormerPatron
Indicates that an entity previously served as a patron or sponsor of another entity, but no longer holds that role.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582d8e548190a7330de49d519675 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.