Triple

T4892135
Position Surface form Disambiguated ID Type / Status
Subject PKP Intercity E109587 entity
Predicate servesStation P839 FINISHED
Object Łódź Fabryczna
Łódź Fabryczna is a major modern railway terminus in Łódź, Poland, serving as one of the city’s primary long-distance and regional train hubs.
 E479818 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: Łódź Fabryczna | Statement: [PKP Intercity, servesStation, Łódź Fabryczna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Łódź Fabryczna
Context triple: [PKP Intercity, servesStation, Łódź Fabryczna]
  • A. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • B. Sosnowiec
    Sosnowiec is an industrial city in southern Poland, located in the Silesian Voivodeship and known as part of the Upper Silesian metropolitan area.
  • C. Chorzów
    Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
  • D. Widzew Łódź
    Widzew Łódź is a Polish professional football club from the city of Łódź, historically known as one of the country’s most successful and popular teams.
  • E. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • 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: Łódź Fabryczna
Triple: [PKP Intercity, servesStation, Łódź Fabryczna]
Generated description
Łódź Fabryczna is a major modern railway terminus in Łódź, Poland, serving as one of the city’s primary long-distance and regional train hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Łódź Fabryczna
Target entity description: Łódź Fabryczna is a major modern railway terminus in Łódź, Poland, serving as one of the city’s primary long-distance and regional train hubs.
  • A. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • B. Sosnowiec
    Sosnowiec is an industrial city in southern Poland, located in the Silesian Voivodeship and known as part of the Upper Silesian metropolitan area.
  • C. Chorzów
    Chorzów is an industrial city in southern Poland’s Silesian region, known for its heavy industry heritage and the extensive Silesian Park.
  • D. Widzew Łódź
    Widzew Łódź is a Polish professional football club from the city of Łódź, historically known as one of the country’s most successful and popular teams.
  • E. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • 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_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_69be6fbf3e74819099910475bbd18734 completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be735ea2cc819085c221b7230db63d completed March 21, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_69be73b237388190b3502e64e185a26e completed March 21, 2026, 10:32 a.m.
Created at: March 20, 2026, 1:28 p.m.