Triple

T3794422
Position Surface form Disambiguated ID Type / Status
Subject Górnik Łęczna E89733 entity
Predicate hasRivalryWith P893 FINISHED
Object Lublinianka Lublin
Lublinianka Lublin is a Polish football club from the city of Lublin, known for its local rivalry with nearby teams such as Górnik Łęczna.
E388556 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: Lublinianka Lublin | Statement: [Górnik Łęczna, hasRivalryWith, Lublinianka Lublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lublinianka Lublin
Context triple: [Górnik Łęczna, hasRivalryWith, Lublinianka Lublin]
  • A. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • B. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • C. 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.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Lublin Land
    Lublin Land is a historical region in eastern Poland centered around the city of Lublin, known for its cultural heritage and role as a crossroads between Western and Eastern Europe.
  • 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: Lublinianka Lublin
Triple: [Górnik Łęczna, hasRivalryWith, Lublinianka Lublin]
Generated description
Lublinianka Lublin is a Polish football club from the city of Lublin, known for its local rivalry with nearby teams such as Górnik Łęczna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lublinianka Lublin
Target entity description: Lublinianka Lublin is a Polish football club from the city of Lublin, known for its local rivalry with nearby teams such as Górnik Łęczna.
  • A. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • B. Lubawa
    Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
  • C. 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.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Lublin Land
    Lublin Land is a historical region in eastern Poland centered around the city of Lublin, known for its cultural heritage and role as a crossroads between Western and Eastern Europe.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f173d66881909301bfc45d10b3d1 completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1ecdd788190aebea36578923fad completed March 14, 2026, 5:28 a.m.
Created at: March 9, 2026, 3:15 p.m.