Triple

T11111669
Position Surface form Disambiguated ID Type / Status
Subject Praga-Północ E262770 entity
Predicate borderedBy P224 FINISHED
Object Białołęka
Białołęka is a rapidly developing residential district in the northeastern part of Warsaw, known for its modern housing estates and expanding infrastructure.
 E905830 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: Białołęka | Statement: [Praga-Północ, borderedBy, Białołęka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Białołęka
Context triple: [Praga-Północ, borderedBy, Białołęka]
  • A. Biała Lądecka
    Biała Lądecka is a river in southwestern Poland that flows through the Kłodzko region before joining the Nysa Kłodzka.
  • B. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • C. Biała
    Biała is a river in southern Poland known for flowing through the city of Bielsko-Biała before joining the Vistula basin.
  • D. Biała
    Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
  • E. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • 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: Białołęka
Triple: [Praga-Północ, borderedBy, Białołęka]
Generated description
Białołęka is a rapidly developing residential district in the northeastern part of Warsaw, known for its modern housing estates and expanding infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Białołęka
Target entity description: Białołęka is a rapidly developing residential district in the northeastern part of Warsaw, known for its modern housing estates and expanding infrastructure.
  • A. Biała Lądecka
    Biała Lądecka is a river in southwestern Poland that flows through the Kłodzko region before joining the Nysa Kłodzka.
  • B. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • C. Biała
    Biała is a former town in southern Poland that historically developed as a separate urban center before being merged with Bielsko to form the modern city of Bielsko-Biała.
  • D. Biała
    Biała is a river in southern Poland known for flowing through the city of Bielsko-Biała before joining the Vistula basin.
  • E. Mława
    Mława is a town in north-central Poland known for its historical significance, including a major World War II battle, and its regional cultural and economic role.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa42ec4819085a2e802e00d9f02 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.