Triple

T2830874
Position Surface form Disambiguated ID Type / Status
Subject Lublin Voivodeship E62231 entity
Predicate contains P35 FINISHED
Object Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
 E411025 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: Łęczna | Statement: [Lublin Voivodeship, contains, Łęczna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Łęczna
Context triple: [Lublin Voivodeship, contains, Łęczna]
  • A. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • B. Szczawnica
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
  • C. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • 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: Łęczna
Triple: [Lublin Voivodeship, contains, Łęczna]
Generated description
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Łęczna
Target entity description: Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
  • A. Oleśnica
    Oleśnica is a historic town in southwestern Poland known for its Renaissance castle and well-preserved old town.
  • B. Szczawnica
    Szczawnica is a Polish spa and tourist town in southern Lesser Poland, known for its mineral springs, health resorts, and scenic location in the Pieniny region near the Dunajec River.
  • C. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebd5a2c81908f0e30a0ae0eb8df completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5627344648190b2794d4e71524bf4 completed March 14, 2026, 1:28 p.m.
NEDg Description generation batch_69b5665f491c8190ad6c593d34b54dca completed March 14, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_69b566b5178c8190b0271114805f1ec0 completed March 14, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:01 p.m.