Triple

T14679871
Position Surface form Disambiguated ID Type / Status
Subject Lüdenscheid E344748 entity
Predicate twinnedWith P1072 FINISHED
Object Myślenice E26049 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: Myślenice | Statement: [Lüdenscheid, twinnedWith, Myślenice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myślenice
Context triple: [Lüdenscheid, twinnedWith, Myślenice]
  • A. Myślenice chosen
    Myślenice is a historic town in southern Poland known for its picturesque setting near the Carpathian foothills and its role as a local cultural and tourist center.
  • B. Mysłakowice
    Mysłakowice is a village in southwestern Poland known for its scenic location in the Jelenia Góra Valley at the foot of the Karkonosze Mountains and its 19th-century palace complex.
  • C. Myszków
    Myszków is a town in southern Poland known for its industrial character and location within the Silesian region.
  • D. Działoszyce
    Działoszyce is a small historic town in south-central Poland, known for its former Jewish community and traditional urban layout.
  • E. Wilczyce
    Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.