Triple
T8958654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Pomerania |
E213541
|
entity |
| Predicate | dividedInto |
P747
|
FINISHED |
| Object | Pomerania-Stolp |
E689765
|
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: Pomerania-Stolp | Statement: [Duchy of Pomerania, dividedInto, Pomerania-Stolp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pomerania-Stolp Context triple: [Duchy of Pomerania, dividedInto, Pomerania-Stolp]
-
A.
Stolp
chosen
Stolp is the historical German name for the Polish city of Słupsk, a regional center in northern Poland near the Baltic coast.
-
B.
Kwidzyn
Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
-
C.
Starogard Gdański
Starogard Gdański is a historic town in northern Poland that serves as an important local industrial and cultural center in the Kociewie region.
-
D.
Gryfice
Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
-
E.
Giżycko
Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd8b42408190be3e044b2a596a8b |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 7 p.m.