Triple

T16504088
Position Surface form Disambiguated ID Type / Status
Subject Güstrow E400875 entity
Predicate hasTownTwinning P919 FINISHED
Object Gryfice NE NERFINISHED

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: Gryfice | Statement: [Güstrow, hasTownTwinning, Gryfice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gryfice
Context triple: [Güstrow, hasTownTwinning, Gryfice]
  • A. Gryfice chosen
    Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
  • B. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • C. Giżycko
    Giżycko is a popular lakeside town in northeastern Poland, known as a major sailing and tourism center in the Masurian Lake District.
  • D. Serock
    Serock is a locality situated near the Western Bug River in eastern Europe.
  • E. Kościerzyna
    Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:14 a.m.