Triple

T19229771
Position Surface form Disambiguated ID Type / Status
Subject Wrocław Główny E480838 entity
Predicate connectsTo P845 FINISHED
Object Poznań Główny NE NERFINISHED

How this triple was built (2 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: Poznań Główny | Statement: [Wrocław Główny, connectsTo, Poznań Główny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poznań Główny
Context triple: [Wrocław Główny, connectsTo, Poznań Główny]
  • A. Poznań
    Poznań is a historic and economically significant city in western Poland, known for its medieval Old Town, role as an early center of Polish statehood, and status as a major academic and industrial hub.
  • B. Poznań Główny railway station chosen
    Poznań Główny railway station is the main railway hub in Poznań, Poland, serving as a major national and international transport interchange.
  • C. Wrocław
    Wrocław is a major historic city in southwestern Poland, known for its picturesque Old Town, numerous bridges over the Oder River, and role as a cultural and academic center.
  • D. Wrocław Główny
    Wrocław Główny is the main railway station in Wrocław, Poland, and one of the country’s largest and busiest rail hubs.
  • E. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9be0d08190afe6040e0cf9c737 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.