Triple

T16072770
Position Surface form Disambiguated ID Type / Status
Subject Lech Poznań E389903 entity
Predicate nickName P2937 FINISHED
Object Kolejorz
Kolejorz is the popular nickname of Polish football club Lech Poznań, reflecting its historic association with the railway industry.
E1192464 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: Kolejorz | Statement: [Lech Poznań, nickName, Kolejorz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolejorz
Context triple: [Lech Poznań, nickName, Kolejorz]
  • A. Terskol
    Terskol is a small settlement in Russia’s North Caucasus region, known as a gateway to Mount Elbrus and a base for mountain tourism and alpine research.
  • B. Koliyas
    Koliyas was an ancient republican clan in northern India, historically known as a neighboring polity to the Shakya tribe during the time of the Buddha.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Okulicki
    Okulicki is the surname of Leopold Okulicki, the last commander of the Polish Home Army during World War II.
  • E. Reedus
    Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
  • 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: Kolejorz
Triple: [Lech Poznań, nickName, Kolejorz]
Generated description
Kolejorz is the popular nickname of Polish football club Lech Poznań, reflecting its historic association with the railway industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kolejorz
Target entity description: Kolejorz is the popular nickname of Polish football club Lech Poznań, reflecting its historic association with the railway industry.
  • A. Terskol
    Terskol is a small settlement in Russia’s North Caucasus region, known as a gateway to Mount Elbrus and a base for mountain tourism and alpine research.
  • B. Koliyas
    Koliyas was an ancient republican clan in northern India, historically known as a neighboring polity to the Shakya tribe during the time of the Buddha.
  • C. Kole
    Kole is a music producer known for working on the album "Songs About Girls."
  • D. Okulicki
    Okulicki is the surname of Leopold Okulicki, the last commander of the Polish Home Army during World War II.
  • E. Reedus
    Reedus is the surname of American actor and model Norman Reedus, best known for his role as Daryl Dixon on the television series "The Walking Dead."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bf6c488190b0099a00f13f2a69 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe67043588190864864d40956682b completed May 10, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6f510cc8190b6b8c46c0356d36a completed May 10, 2026, 2:01 a.m.
Created at: April 10, 2026, 4:57 a.m.