Triple

T13875248
Position Surface form Disambiguated ID Type / Status
Subject Gliwice E333563 entity
Predicate hasDistrict P459 FINISHED
Object Trynek
Trynek is a residential district of the city of Gliwice in southern Poland.
 E1067057 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: Trynek | Statement: [Gliwice, hasDistrict, Trynek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trynek
Context triple: [Gliwice, hasDistrict, Trynek]
  • A. Plac Na Rozdrożu
    Plac Na Rozdrożu is a major road junction and public square in central Warsaw, Poland, serving as an important traffic and transit hub.
  • B. Rynek
    Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
  • C. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • D. Okęcie
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • E. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • 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: Trynek
Triple: [Gliwice, hasDistrict, Trynek]
Generated description
Trynek is a residential district of the city of Gliwice in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trynek
Target entity description: Trynek is a residential district of the city of Gliwice in southern Poland.
  • A. Plac Na Rozdrożu
    Plac Na Rozdrożu is a major road junction and public square in central Warsaw, Poland, serving as an important traffic and transit hub.
  • B. Rynek
    Rynek is the historic main market square found in many Polish towns and cities, typically serving as their central public and commercial space.
  • C. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • D. Okęcie
    Okęcie is a district in Warsaw, Poland, best known for hosting the city’s main international airport and various aviation-related facilities.
  • E. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c109ac5c819090b2b7e43334f904 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:15 p.m.