Triple

T3615004
Position Surface form Disambiguated ID Type / Status
Subject Sagan E76578 entity
Predicate polishName P15778 FINISHED
Object Żagań E429045 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: Żagań | Statement: [Sagan, polishName, Żagań]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Żagań
Context triple: [Sagan, polishName, Żagań]
  • A. Żagań chosen
    Żagań is a town in western Poland known for its historic architecture and its World War II prisoner-of-war camp, Stalag Luft III, site of the “Great Escape.”
  • B. Wyszogród
    Wyszogród is a historic town in central Poland on the Vistula River, known for its medieval roots and strategic location that has seen numerous military events over the centuries.
  • C. Targówek
    Targówek is a residential district in the northeastern part of Warsaw, Poland, known for its large housing estates, green areas, and growing transport links to the city center.
  • D. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • E. Działdowo
    Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27b5e008190a72a8dab7d736e64 completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d035d97081908688d63527fd0f66 completed March 14, 2026, 9:16 p.m.
Created at: March 8, 2026, 3:23 p.m.