Triple

T4892137
Position Surface form Disambiguated ID Type / Status
Subject PKP Intercity E109587 entity
Predicate servesStation P839 FINISHED
Object Lublin Główny
Lublin Główny is the main railway station in Lublin, Poland, functioning as a key regional and long-distance transport hub.
 E47827 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: Lublin Główny | Statement: [PKP Intercity, servesStation, Lublin Główny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lublin Główny
Context triple: [PKP Intercity, servesStation, Lublin Główny]
  • A. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • B. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • C. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • D. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • 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. 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: Lublin Główny
Triple: [PKP Intercity, servesStation, Lublin Główny]
Generated description
Lublin Główny is the main railway station in Lublin, Poland, functioning as a key regional and long-distance transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lublin Główny
Target entity description: Lublin Główny is the main railway station in Lublin, Poland, functioning as a key regional and long-distance transport hub.
  • A. Lublin chosen
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • B. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • C. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • D. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • 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.

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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed90355a88190bc1aafed3ad74625 completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed9f3624c8190b9d22fa0594dd767 completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69beda5d39b88190a7314f673de2719d completed March 21, 2026, 5:50 p.m.
Created at: March 20, 2026, 1:28 p.m.