Triple

T1708813
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart E36930 entity
Predicate twinnedWith P1072 FINISHED
Object 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.
 E237036 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: Mława | Statement: [Stuttgart, twinnedWith, Mława]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mława
Context triple: [Stuttgart, twinnedWith, Mława]
  • A. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Iława
    Iława is a town in northern Poland known for its lakeside location on Jeziorak Lake and its role as a local economic and tourist center in the Warmian-Masurian region.
  • 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: Mława
Triple: [Stuttgart, twinnedWith, Mława]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mława
Target entity description: 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.
  • A. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • B. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Iława
    Iława is a town in northern Poland known for its lakeside location on Jeziorak Lake and its role as a local economic and tourist center in the Warmian-Masurian region.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516742dc81909915c49b12645c26 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae524946f881908452e7f414962e70 completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae529f2e508190b7483b70c9dbf9f9 completed March 9, 2026, 4:54 a.m.
Created at: March 4, 2026, 7:30 p.m.