Triple

T15721836
Position Surface form Disambiguated ID Type / Status
Subject Barczewo E381112 entity
Predicate locatedOnRiver P165 FINISHED
Object Pisza Woda
Pisza Woda is a river in northern Poland that flows through the town of Barczewo in the Warmian-Masurian region.
 E1172287 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: Pisza Woda | Statement: [Barczewo, locatedOnRiver, Pisza Woda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pisza Woda
Context triple: [Barczewo, locatedOnRiver, Pisza Woda]
  • A. Paniowy
    Paniowy is a district of the town of Mikołów in southern Poland, located in the Silesian region.
  • B. Szeszupa
    Szeszupa is the Polish name for the Šešupė River, a waterway flowing through parts of Lithuania, Poland, and Russia before joining the Neman River.
  • C. Pisz
    Pisz is a town in northeastern Poland known for its location in the Masurian Lake District and proximity to extensive forests and lakes.
  • D. Czarna Woda
    Czarna Woda is a river in southwestern Poland that serves as a tributary of the Bóbr River within the Oder river basin.
  • E. Czarna Woda
    Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
  • 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: Pisza Woda
Triple: [Barczewo, locatedOnRiver, Pisza Woda]
Generated description
Pisza Woda is a river in northern Poland that flows through the town of Barczewo in the Warmian-Masurian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pisza Woda
Target entity description: Pisza Woda is a river in northern Poland that flows through the town of Barczewo in the Warmian-Masurian region.
  • A. Paniowy
    Paniowy is a district of the town of Mikołów in southern Poland, located in the Silesian region.
  • B. Szeszupa
    Szeszupa is the Polish name for the Šešupė River, a waterway flowing through parts of Lithuania, Poland, and Russia before joining the Neman River.
  • C. Pisz
    Pisz is a town in northeastern Poland known for its location in the Masurian Lake District and proximity to extensive forests and lakes.
  • D. Czarna Woda
    Czarna Woda is a river in southwestern Poland that serves as a tributary of the Bóbr River within the Oder river basin.
  • E. Czarna Woda
    Czarna Woda is a town in northern Poland situated along the Wda River, known for its surrounding forests and natural landscapes.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75866b548190b07392b05e631192 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff7653ccc08190b4b44b4f55344f65 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76d21a148190bbe66c3ff12386f3 completed May 9, 2026, 6:02 p.m.
Created at: April 10, 2026, 4:45 a.m.