Triple
T12610757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bzura (Polish) |
E301113
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Bzura
Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
|
E992819
|
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: Bzura | Statement: [Bzura (Polish), name, Bzura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bzura Context triple: [Bzura (Polish), name, Bzura]
-
A.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
B.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
C.
Bóbrka
Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
-
D.
Babia
Babia is a mountainous comarca in the northwest of Spain, known for its scenic landscapes, traditional villages, and location within the Province of León in Castile and León.
-
E.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
- 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: Bzura Triple: [Bzura (Polish), name, Bzura]
Generated description
Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bzura Target entity description: Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
-
A.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
B.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
C.
Bóbrka
Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
-
D.
Babia
Babia is a mountainous comarca in the northwest of Spain, known for its scenic landscapes, traditional villages, and location within the Province of León in Castile and León.
-
E.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecf3e248190868c1eb864191f8b |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:11 p.m.