Triple
T36639243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European institutions and Member States |
E904539
|
entity |
| Predicate | includesMemberState |
P114580
|
FINISHED |
| Object | Federal Republic of Germany |
E1728
|
NE 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: Federal Republic of Germany | Statement: [European institutions and Member States, includesMemberState, Federal Republic of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMemberState Context triple: [European institutions and Member States, includesMemberState, Federal Republic of Germany]
-
A.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
-
B.
includesFederalMemberState
chosen
Indicates that an entity (such as a federation or union) has a particular member state as part of its federal structure.
-
C.
authorizedMemberStates
Indicates that certain member states have been granted official permission or authority to perform a specified action or exercise particular rights within a defined context.
-
D.
hasMembersPerState
Indicates a relationship that specifies how many members are associated with each state.
-
E.
requestedMemberStates
Indicates that certain member states have been formally asked to take a specific action or fulfill a particular request.
- F. None of above.
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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a0940e39c81909507a09fe6fe6ad2 |
completed | June 23, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.