Triple

T6840876
Position Surface form Disambiguated ID Type / Status
Subject Šešupė River E157568 entity
Predicate hasNameInPolish P15778 FINISHED
Object 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.
 E623817 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: Szeszupa | Statement: [Šešupė River, hasNameInPolish, Szeszupa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Szeszupa
Context triple: [Šešupė River, hasNameInPolish, Szeszupa]
  • A. Susz
    Susz is a small town in northern Poland known for its lakes and forests, situated within the Warmian-Masurian Voivodeship.
  • B. Pasłęk
    Pasłęk is a historic town in northern Poland known for its medieval architecture and location within the Warmian-Masurian Voivodeship.
  • C. Oszmiana
    Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
  • D. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • E. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • 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: Szeszupa
Triple: [Šešupė River, hasNameInPolish, Szeszupa]
Generated description
Szeszupa is the Polish name for the Šešupė River, a waterway flowing through parts of Lithuania, Poland, and Russia before joining the Neman River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Szeszupa
Target entity description: Szeszupa is the Polish name for the Šešupė River, a waterway flowing through parts of Lithuania, Poland, and Russia before joining the Neman River.
  • A. Susz
    Susz is a small town in northern Poland known for its lakes and forests, situated within the Warmian-Masurian Voivodeship.
  • B. Pasłęk
    Pasłęk is a historic town in northern Poland known for its medieval architecture and location within the Warmian-Masurian Voivodeship.
  • C. Oszmiana
    Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
  • D. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • E. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b4a1f88190b4f532828697fbd8 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb4f80081908198c8270633d34a completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c730cdb3c88190802ddda15d8aa52f completed March 28, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c734876ca0819087842bec6e01c02e completed March 28, 2026, 1:53 a.m.
Created at: March 27, 2026, 2:19 p.m.