Triple
T35689385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Aegidien Church, Lübeck |
E1031246
|
entity |
| Predicate | locatedInStateParty |
P207095
|
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: [St. Aegidien Church, Lübeck, locatedInStateParty, Federal Republic of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInStateParty Context triple: [St. Aegidien Church, Lübeck, locatedInStateParty, Federal Republic of Germany]
-
A.
stateParty
Indicates that an entity is a member or signatory state formally bound by a particular treaty, agreement, or convention.
-
B.
statePartyOf
Indicates that an entity is a member or signatory state to a particular treaty, convention, or international agreement.
-
C.
locatedInStateElectorate
Indicates that one entity is geographically situated within the boundaries of a particular state electoral district.
-
D.
locatedInStateSenateDistrict
Indicates that one entity is geographically situated within the boundaries of a particular state senate legislative district.
-
E.
stateLevelPartyIn
Indicates that a political party operates or is organized at the level of a specific state within a larger federal or national system.
- F. None of above. chosen
Provenance (5 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387272478c8190a9568b0599409345 |
completed | June 21, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.