Triple
T10691805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graudenz |
E252028
|
entity |
| Predicate | germanNameOf |
P22792
|
FINISHED |
| Object | Grudziądz |
E1094460
|
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: Grudziądz | Statement: [Graudenz, germanNameOf, Grudziądz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grudziądz Context triple: [Graudenz, germanNameOf, Grudziądz]
-
A.
Grudziądz
chosen
Grudziądz is a historic city in northern Poland on the Vistula River, known for its medieval granaries and well-preserved Old Town.
-
B.
Gorzów Wielkopolski
Gorzów Wielkopolski is a city in western Poland, known as one of the two capitals of the Lubusz Voivodeship and an important regional industrial and cultural center.
-
C.
Glogów
Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
-
D.
Ogrodzieniec
Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
-
E.
Wałcz
Wałcz is a town in northwestern Poland known for its lakes, forests, and role as a local administrative and cultural center.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd3705788190bcbdef93b4c5f574 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bab66488190a465e40f1181506e |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 8, 2026, 9:11 p.m.