Triple
T822789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Group Vistula |
E17785
|
entity |
| Predicate | front |
P1699
|
FINISHED |
| Object | Vistula River sector |
E24092
|
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: Vistula River sector | Statement: [Army Group Vistula, front, Vistula River sector]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vistula River sector Context triple: [Army Group Vistula, front, Vistula River sector]
-
A.
Vistula River
chosen
The Vistula River is Poland’s longest and most important river, flowing from the Carpathian Mountains to the Baltic Sea and passing through major cities such as Kraków and Warsaw.
-
B.
Oder River
The Oder River is a major Central European river that flows through the Czech Republic, Poland, and along the Polish–German border before emptying into the Baltic Sea.
-
C.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
-
D.
Oder River islands
The Oder River islands are a group of scenic river islands in Wrocław that shape the city’s distinctive landscape and host parks, historic sites, and cultural venues.
-
E.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab7c139c8190b6d75661b5138d89 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d93af548190818c14a370e0914a |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.