Triple
T10950626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elphi |
E258715
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Hamburg state |
E902273
|
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: Hamburg state | Statement: [Elphi, region, Hamburg state]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg state Context triple: [Elphi, region, Hamburg state]
-
A.
Hamburg state
chosen
Hamburg state is a federal state of Germany that consists primarily of the city of Hamburg, a major northern European port and cultural center.
-
B.
Lower Saxony
Lower Saxony is a large federal state in northwestern Germany known for its diverse landscapes, strong industrial base, and historic cities such as Hanover and Göttingen.
-
C.
North Rhine-Westphalia
North Rhine-Westphalia is Germany’s most populous federal state, known for its major industrial regions, cultural hubs like Cologne and Düsseldorf, and numerous universities and research institutions.
-
D.
State of Bremen
The State of Bremen is a small federal state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port facilities.
-
E.
Upper Saxony
Upper Saxony is a historical region in central Europe that formed part of the Electorate of Saxony and encompassed areas including the city of Dresden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ed2f1c819081ec58457f57889d |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e6fd11b08190b587bebf9586f754 |
completed | April 18, 2026, 8:18 p.m. |
Created at: April 8, 2026, 9:23 p.m.