Triple

T7263151
Position Surface form Disambiguated ID Type / Status
Subject Warsaw metropolitan area E159704 entity
Predicate containsCity P294 FINISHED
Object Józefów
Józefów is a suburban town in east-central Poland that forms part of the greater Warsaw metropolitan area.
 E652760 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: Józefów | Statement: [Warsaw metropolitan area, containsCity, Józefów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Józefów
Context triple: [Warsaw metropolitan area, containsCity, Józefów]
  • A. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • B. Jędrzej
    Jędrzej is a Polish male given name, traditionally used as a regional or archaic form of the name Andrzej (Andrew).
  • C. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • D. Lejzer
    Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
  • E. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • 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: Józefów
Triple: [Warsaw metropolitan area, containsCity, Józefów]
Generated description
Józefów is a suburban town in east-central Poland that forms part of the greater Warsaw metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Józefów
Target entity description: Józefów is a suburban town in east-central Poland that forms part of the greater Warsaw metropolitan area.
  • A. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • B. Jędrzej
    Jędrzej is a Polish male given name, traditionally used as a regional or archaic form of the name Andrzej (Andrew).
  • C. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • D. Lejzer
    Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
  • E. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • 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.