Triple

T11111624
Position Surface form Disambiguated ID Type / Status
Subject Mokotów E262769 entity
Predicate contains P35 FINISHED
Object Sadyba
Sadyba is a residential neighborhood in Warsaw, Poland, known for its quiet streets, greenery, and mix of modern housing with historic villas.
E905824 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: Sadyba | Statement: [Mokotów, contains, Sadyba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadyba
Context triple: [Mokotów, contains, Sadyba]
  • A. Nezvěstice
    Nezvěstice is a village and municipality in the Plzeň Region of the Czech Republic, known for its location in the Úslava River valley.
  • B. Qabiha
    Qabiha was a consort of the Abbasid caliph al-Mu'tamid, associated with the 9th-century Abbasid court.
  • C. Trumau
    Trumau is a small market town in Lower Austria, known for its historic architecture and location within the Baden district near Vienna.
  • D. Porajmos
    Porajmos is the term used to describe the genocide and systematic persecution of Roma and Sinti people by Nazi Germany and its allies during World War II.
  • E. Sukošan
    Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
  • 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: Sadyba
Triple: [Mokotów, contains, Sadyba]
Generated description
Sadyba is a residential neighborhood in Warsaw, Poland, known for its quiet streets, greenery, and mix of modern housing with historic villas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sadyba
Target entity description: Sadyba is a residential neighborhood in Warsaw, Poland, known for its quiet streets, greenery, and mix of modern housing with historic villas.
  • A. Nezvěstice
    Nezvěstice is a village and municipality in the Plzeň Region of the Czech Republic, known for its location in the Úslava River valley.
  • B. Qabiha
    Qabiha was a consort of the Abbasid caliph al-Mu'tamid, associated with the 9th-century Abbasid court.
  • C. Trumau
    Trumau is a small market town in Lower Austria, known for its historic architecture and location within the Baden district near Vienna.
  • D. Porajmos
    Porajmos is the term used to describe the genocide and systematic persecution of Roma and Sinti people by Nazi Germany and its allies during World War II.
  • E. Sukošan
    Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
  • 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.