Triple

T8759772
Position Surface form Disambiguated ID Type / Status
Subject Mława–Elbing Offensive E208165 entity
Predicate involvedCity P10973 FINISHED
Object Mława E237036 NE FINISHED

How this triple was built (2 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: [Mława–Elbing Offensive, involvedCity, Mława]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mława
Context triple: [Mława–Elbing Offensive, involvedCity, Mława]
  • A. Mława chosen
    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.
  • B. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • C. Głuszyna
    Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
  • D. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • E. Tuchola
    Tuchola is a town in northern Poland that lends its name to the surrounding Tuchola Forest, one of the largest forest complexes in the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100a931988190aaff56f16057ea90 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 6:40 p.m.