Triple
T2576975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Convention (Germany) |
E56998
|
entity |
| Predicate | hasTemporaryMembers |
P39904
|
FINISHED |
| Object | delegates from the Länder |
—
|
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: delegates from the Länder | Statement: [Federal Convention (Germany), hasTemporaryMembers, delegates from the Länder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTemporaryMembers Context triple: [Federal Convention (Germany), hasTemporaryMembers, delegates from the Länder]
-
A.
numberOfNonPermanentMembers
Indicates the count of entities that hold non-permanent (temporary or rotating) membership within a larger group or body.
-
B.
hasExtantMembers
Indicates that the referenced group, category, or lineage currently has living or existing members.
-
C.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
D.
isPermanentForMembers
Indicates that a condition, status, or setting is unchangeable and remains in effect indefinitely for the members it applies to.
-
E.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
- 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.