Triple

T7263148
Position Surface form Disambiguated ID Type / Status
Subject Warsaw metropolitan area E159704 entity
Predicate containsCity P294 FINISHED
Object Milanówek
Milanówek is a small suburban town in east-central Poland, known for its greenery and villa-style architecture, situated within the broader Warsaw metropolitan area.
 E652759 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: Milanówek | Statement: [Warsaw metropolitan area, containsCity, Milanówek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milanówek
Context triple: [Warsaw metropolitan area, containsCity, Milanówek]
  • A. Lech
    Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
  • B. Lech
    Lech is a Polish masculine given name most famously borne by Lech Wałęsa, the Solidarity leader and former president of Poland.
  • C. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • D. Lipski
    Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
  • E. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • 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: Milanówek
Triple: [Warsaw metropolitan area, containsCity, Milanówek]
Generated description
Milanówek is a small suburban town in east-central Poland, known for its greenery and villa-style architecture, situated within the broader Warsaw metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milanówek
Target entity description: Milanówek is a small suburban town in east-central Poland, known for its greenery and villa-style architecture, situated within the broader Warsaw metropolitan area.
  • A. Lech
    Lech is a Polish masculine given name most famously borne by Lech Wałęsa, the Solidarity leader and former president of Poland.
  • B. Lech
    Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
  • C. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • D. Lipski
    Lipski is a Polish surname borne by various notable figures in politics, arts, and academia.
  • E. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac9fab88190881ab9e1cd94cdc1 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c3bfb48190877ba03ab0851a68 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d44f36e881909d107cc625ebcfca completed March 28, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4cc3e78819098eb8ccfe7c42cc5 completed March 28, 2026, 1:17 p.m.
Created at: March 27, 2026, 2:57 p.m.