Triple

T11111613
Position Surface form Disambiguated ID Type / Status
Subject Mokotów E262769 entity
Predicate contains P35 FINISHED
Object Sielce
Sielce is a residential neighborhood in Warsaw, Poland, known for its green areas and location within the Mokotów district.
E1028345 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: Sielce | Statement: [Mokotów, contains, Sielce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sielce
Context triple: [Mokotów, contains, Sielce]
  • A. Siewierz
    Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
  • B. Wilczyce
    Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
  • C. Sianów
    Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
  • D. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • E. Oleśnica
    Oleśnica is a village located in Busko County in the Świętokrzyskie Voivodeship of south-central Poland.
  • 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: Sielce
Triple: [Mokotów, contains, Sielce]
Generated description
Sielce is a residential neighborhood in Warsaw, Poland, known for its green areas and location within the Mokotów district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sielce
Target entity description: Sielce is a residential neighborhood in Warsaw, Poland, known for its green areas and location within the Mokotów district.
  • A. Siewierz
    Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
  • B. Wilczyce
    Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
  • C. Sianów
    Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
  • D. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • E. Oleśnica
    Oleśnica is a village located in Busko County in the Świętokrzyskie Voivodeship of south-central Poland.
  • 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_69f6fef311c4819094b6b08a62d3afb3 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f703108c4c8190be112015f69ea089 completed May 3, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_69f7040e32a4819083a9f4efe96fd9ca completed May 3, 2026, 8:15 a.m.
Created at: April 8, 2026, 9:27 p.m.