Triple
T36248987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Hanseatic City of Lübeck |
E891742
|
entity |
| Predicate | wasFederalStateOf |
P10261
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [Free Hanseatic City of Lübeck, wasFederalStateOf, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFederalStateOf Context triple: [Free Hanseatic City of Lübeck, wasFederalStateOf, Germany]
-
A.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
B.
includesFederalState
Indicates that one entity encompasses or contains both federal-level and state-level components, jurisdictions, or elements.
-
C.
foundingState
Indicates that a state or entity played a primary role in establishing or creating another organization, institution, or political entity.
-
D.
stateOrTerritory
chosen
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
E.
wasProvince
Indicates that one entity functioned as a province under the authority or jurisdiction of another entity.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5f89c5c8190825ed5d4317c540c |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.