Triple

T7624977
Position Surface form Disambiguated ID Type / Status
Subject Wisłok River E172604 entity
Predicate flowsThrough P225 FINISHED
Object Strzyżów
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
 E916069 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: Strzyżów | Statement: [Wisłok River, flowsThrough, Strzyżów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strzyżów
Context triple: [Wisłok River, flowsThrough, Strzyżów]
  • A. Zbrzyca
    Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
  • B. Skrzyczne
    Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
  • C. Zbrosławice
    Zbrosławice is a village in southern Poland known as the seat of its rural administrative district in the Silesian Voivodeship.
  • D. Szydłów
    Szydłów is a historic village in south-central Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
  • E. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • 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: Strzyżów
Triple: [Wisłok River, flowsThrough, Strzyżów]
Generated description
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strzyżów
Target entity description: Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
  • A. Zbrzyca
    Zbrzyca is a river in northern Poland that flows through the Pomeranian region before joining the Brda River.
  • B. Skrzyczne
    Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
  • C. Zbrosławice
    Zbrosławice is a village in southern Poland known as the seat of its rural administrative district in the Silesian Voivodeship.
  • D. Szydłów
    Szydłów is a historic village in south-central Poland, often called the "Polish Carcassonne" for its well-preserved medieval defensive walls and architecture.
  • E. Krotoszyn
    Krotoszyn is a historic town in west-central Poland known for its medieval origins and changing political affiliations, including periods under Prussian and German rule.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f31e3d5c8190a044eaf67ebc9f08 completed April 19, 2026, 3:22 p.m.
NEDg Description generation batch_69e4f7dbfafc8190afa1e9fe67f1296e completed April 19, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff4645948190a2bfcc3a4efd8e2a completed April 19, 2026, 4:13 p.m.
Created at: March 27, 2026, 3:56 p.m.