Triple

T16072773
Position Surface form Disambiguated ID Type / Status
Subject Lech Poznań E389903 entity
Predicate originalName P65 FINISHED
Object Lutnia Dębiec
Lutnia Dębiec was the early football club from the Dębiec district of Poznań that later evolved into the modern Polish team Lech Poznań.
E1192466 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: Lutnia Dębiec | Statement: [Lech Poznań, originalName, Lutnia Dębiec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lutnia Dębiec
Context triple: [Lech Poznań, originalName, Lutnia Dębiec]
  • A. Pietraszewicz
    Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
  • B. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • C. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • D. Lipiński
    Lipiński is a Polish surname borne by various notable figures in fields such as music, sports, and science.
  • E. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • 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: Lutnia Dębiec
Triple: [Lech Poznań, originalName, Lutnia Dębiec]
Generated description
Lutnia Dębiec was the early football club from the Dębiec district of Poznań that later evolved into the modern Polish team Lech Poznań.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lutnia Dębiec
Target entity description: Lutnia Dębiec was the early football club from the Dębiec district of Poznań that later evolved into the modern Polish team Lech Poznań.
  • A. Pietraszewicz
    Pietraszewicz is a Polish surname associated with individuals such as Bronisław "Lot" Pietraszewicz.
  • B. Wacław
    Wacław is a Polish given name, equivalent to the name Wenceslaus or Wenzel in other Central European languages.
  • C. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • D. Lipiński
    Lipiński is a Polish surname borne by various notable figures in fields such as music, sports, and science.
  • E. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • 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.