Triple
T722371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PT-91 Twardy |
E14645
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Bumar-Łabędy
Bumar-Łabędy is a Polish defense manufacturer best known for producing armored vehicles and modernized main battle tanks.
|
E95333
|
NE FINISHED |
How this triple was built (4 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: Bumar-Łabędy | Statement: [PT-91 Twardy, manufacturer, Bumar-Łabędy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bumar-Łabędy Context triple: [PT-91 Twardy, manufacturer, Bumar-Łabędy]
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
D.
Walewice
Walewice is a village in central Poland, historically notable as the birthplace of statesman and diplomat Alexandre Colonna-Walewski, the son of Napoleon Bonaparte and Countess Maria Walewska.
-
E.
Dolina Chochołowska
Dolina Chochołowska is the largest and one of the most scenic valleys in the Polish Tatra Mountains, known for its extensive hiking trails and spring crocus blooms.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bumar-Łabędy Triple: [PT-91 Twardy, manufacturer, Bumar-Łabędy]
Generated description
Bumar-Łabędy is a Polish defense manufacturer best known for producing armored vehicles and modernized main battle tanks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bumar-Łabędy Target entity description: Bumar-Łabędy is a Polish defense manufacturer best known for producing armored vehicles and modernized main battle tanks.
-
A.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
D.
Walewice
Walewice is a village in central Poland, historically notable as the birthplace of statesman and diplomat Alexandre Colonna-Walewski, the son of Napoleon Bonaparte and Countess Maria Walewska.
-
E.
Dolina Chochołowska
Dolina Chochołowska is the largest and one of the most scenic valleys in the Polish Tatra Mountains, known for its extensive hiking trails and spring crocus blooms.
- F. None of above. chosen
Provenance (5 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a591124c8190842e7ef18b064198 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6891b6d908190823a9a09cef5c7da |
completed | March 3, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69a68b72910081908792bc4760b0610a |
completed | March 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6d634d6f08190a59ebda3bfe0d3db |
completed | March 3, 2026, 12:38 p.m. |
Created at: March 1, 2026, 7:37 p.m.