Triple

T7128714
Position Surface form Disambiguated ID Type / Status
Subject Bitwa pod Mokrą E166131 entity
Predicate place P373 FINISHED
Object Mokra
Mokra is a village in southern Poland known as the site of a major early World War II battle between Polish and German forces.
 E644302 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: Mokra | Statement: [Bitwa pod Mokrą, place, Mokra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mokra
Context triple: [Bitwa pod Mokrą, place, Mokra]
  • A. Mokre
    Mokre is a district of the town of Mikołów in southern Poland, situated in the Silesian region.
  • B. Miková
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • C. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • D. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • E. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • 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: Mokra
Triple: [Bitwa pod Mokrą, place, Mokra]
Generated description
Mokra is a village in southern Poland known as the site of a major early World War II battle between Polish and German forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mokra
Target entity description: Mokra is a village in southern Poland known as the site of a major early World War II battle between Polish and German forces.
  • A. Mokre
    Mokre is a district of the town of Mikołów in southern Poland, situated in the Silesian region.
  • B. Miková
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • C. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • D. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • E. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66b230c819090ddbc5396868305 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.