Triple

T7601794
Position Surface form Disambiguated ID Type / Status
Subject Kulm E180000 entity
Predicate hasPolishName P15778 FINISHED
Object Chełmno E693702 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: Chełmno | Statement: [Kulm, hasPolishName, Chełmno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chełmno
Context triple: [Kulm, hasPolishName, Chełmno]
  • A. Chełmno chosen
    Chełmno is a historic town in northern Poland, known for its well-preserved medieval Old Town and Gothic architecture.
  • B. Chełmno nad Nerem
    Chełmno nad Nerem is a village in central Poland historically known as the site of the Nazi German Chełmno extermination camp during World War II.
  • C. Malbork
    Malbork is a historic town in northern Poland best known for the vast medieval Malbork Castle, one of the largest brick castles in the world and a UNESCO World Heritage Site.
  • D. Świdwin
    Świdwin is a historic town in northwestern Poland, known for its medieval castle and location in the West Pomeranian Voivodeship.
  • E. Elbląg
    Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb59ca4c088190bc4f1f9b2488d996 completed March 31, 2026, 5:21 a.m.
Created at: March 27, 2026, 3:54 p.m.