Triple
T15446541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbja |
E370037
|
entity |
| Predicate | concentratedIn |
P2790
|
FINISHED |
| Object | State of Brandenburg |
E46660
|
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: State of Brandenburg | Statement: [Serbja, concentratedIn, State of Brandenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State of Brandenburg Context triple: [Serbja, concentratedIn, State of Brandenburg]
-
A.
Province of Brandenburg
The Province of Brandenburg was a historic Prussian province in northeastern Germany that included the area around Berlin and served as a political and cultural heartland of the region.
-
B.
Brandenburg
Brandenburg is a small city in Meade County, Kentucky, situated along the Ohio River and serving as the county seat.
-
C.
Brandenburg
chosen
Brandenburg is a federal state in northeastern Germany that surrounds Berlin and is known for its lakes, forests, and historic Prussian heritage.
-
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.
Mecklenburg-Vorpommern
Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d42977881909ed07b58c029cbe9 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:21 a.m.