Triple
T18559686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werner von Blomberg |
E453600
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Stargard in Pommern |
—
|
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: Stargard in Pommern | Statement: [Werner von Blomberg, placeOfBirth, Stargard in Pommern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stargard in Pommern Context triple: [Werner von Blomberg, placeOfBirth, Stargard in Pommern]
-
A.
Stargard
chosen
Stargard is a town in northwestern Poland known for its medieval architecture and historical role as a strategic military and administrative center.
-
B.
Hoyerswerda
Hoyerswerda is a town in eastern Germany’s Saxony region, historically shaped by lignite mining and now known for its proximity to the emerging Lusatian lake landscape.
-
C.
Schwedt
Schwedt is a town in northeastern Germany, located on the Oder River near the Polish border, known for its industrial facilities and cross-border regional ties.
-
D.
Stolp
Stolp is the historical German name for the Polish city of Słupsk, a regional center in northern Poland near the Baltic coast.
-
E.
Pritzwalk
Pritzwalk is a small historic town in the state of Brandenburg in northeastern Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538098a148190b0fc7098ce3c62fd |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:42 a.m.