Triple

T4651632
Position Surface form Disambiguated ID Type / Status
Subject Warta River E102306 entity
Predicate flowsThrough P225 FINISHED
Object Międzychód
Międzychód is a town in western Poland known for its picturesque lakeside setting and surrounding forested landscapes.
E457906 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: Międzychód | Statement: [Warta River, flowsThrough, Międzychód]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Międzychód
Context triple: [Warta River, flowsThrough, Międzychód]
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Jędrzejów
    Jędrzejów is a historic town in south-central Poland known for its Cistercian monastery and regional cultural significance.
  • C. Skarżysko-Kamienna
    Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
  • D. Jasło
    Jasło is a small town in southeastern Poland, known as part of the historical region of Galicia and for its cultural and educational traditions.
  • E. Międzyrzecz
    Międzyrzecz is a town in western Poland known for its historic fortifications and proximity to the extensive Międzyrzecz Fortified Region (MRU) bunker complex.
  • 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: Międzychód
Triple: [Warta River, flowsThrough, Międzychód]
Generated description
Międzychód is a town in western Poland known for its picturesque lakeside setting and surrounding forested landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Międzychód
Target entity description: Międzychód is a town in western Poland known for its picturesque lakeside setting and surrounding forested landscapes.
  • A. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • B. Jędrzejów
    Jędrzejów is a historic town in south-central Poland known for its Cistercian monastery and regional cultural significance.
  • C. Skarżysko-Kamienna
    Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
  • D. Jasło
    Jasło is a small town in southeastern Poland, known as part of the historical region of Galicia and for its cultural and educational traditions.
  • E. Międzyrzecz
    Międzyrzecz is a town in western Poland known for its historic fortifications and proximity to the extensive Międzyrzecz Fortified Region (MRU) bunker complex.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfbc12acc8190b8116a6003abb3e3 completed March 21, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc44536c8190a71e52b0690a7570 completed March 21, 2026, 2:02 a.m.
Created at: March 20, 2026, 1:14 p.m.