Triple

T2830873
Position Surface form Disambiguated ID Type / Status
Subject Lublin Voivodeship E62231 entity
Predicate contains P35 FINISHED
Object Puławy
Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
 E392000 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: Puławy | Statement: [Lublin Voivodeship, contains, Puławy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Puławy
Context triple: [Lublin Voivodeship, contains, Puławy]
  • A. Pińczów
    Pińczów is a historic town in south-central Poland known for its Renaissance architecture and scenic location in the Nida River valley.
  • B. Milejewo
    Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • E. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • 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: Puławy
Triple: [Lublin Voivodeship, contains, Puławy]
Generated description
Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Puławy
Target entity description: Puławy is a historic town in eastern Poland known for its classical palace-and-park complex and role as an important cultural and scientific center.
  • A. Pińczów
    Pińczów is a historic town in south-central Poland known for its Renaissance architecture and scenic location in the Nida River valley.
  • B. Milejewo
    Milejewo is a small village in northern Poland, located in the Warmian-Masurian Voivodeship and known for its rural character and surrounding natural landscapes.
  • C. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • D. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • E. Pałuki
    Pałuki is a historical and ethnographic region in north-central Poland, known for its distinctive folk culture, wooden architecture, and numerous lakes.
  • 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_69b503cf9f8881908dc371d5acb952cf completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b5047828e881908fe936119a0a2c8e completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b504c5520881909f740275fe6640fb completed March 14, 2026, 6:48 a.m.
Created at: March 6, 2026, 10:01 p.m.