Triple

T10632920
Position Surface form Disambiguated ID Type / Status
Subject Roman Dmowski E250503 entity
Predicate birthPlace P1 FINISHED
Object Kamionek
Kamionek is a district in Warsaw, Poland, historically known as an industrial and working-class area on the eastern bank of the Vistula River.
 E876369 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: Kamionek | Statement: [Roman Dmowski, birthPlace, Kamionek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamionek
Context triple: [Roman Dmowski, birthPlace, Kamionek]
  • A. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • B. Kamionna
    Kamionna is a village located in the Beskid Wyspowy mountain range in southern Poland, known for its scenic, hilly landscape.
  • C. Tachov
    Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
  • D. Kaniówka
    Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
  • E. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • 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: Kamionek
Triple: [Roman Dmowski, birthPlace, Kamionek]
Generated description
Kamionek is a district in Warsaw, Poland, historically known as an industrial and working-class area on the eastern bank of the Vistula River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamionek
Target entity description: Kamionek is a district in Warsaw, Poland, historically known as an industrial and working-class area on the eastern bank of the Vistula River.
  • A. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • B. Kamionna
    Kamionna is a village located in the Beskid Wyspowy mountain range in southern Poland, known for its scenic, hilly landscape.
  • C. Tachov
    Tachov is a town in western Czechia that serves as an administrative center and local hub within the Plzeň Region.
  • D. Kaniówka
    Kaniówka is a ski resort in southern Poland, forming part of the Białka Tatrzańska ski area in the Tatra Mountains region.
  • E. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df95f5e88190b34ce3ec972759ef completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:02 p.m.