Triple

T18767705
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk Voivodeship (post-1945) E458932 entity
Predicate contains P35 FINISHED
Object Kwidzyn 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: Kwidzyn | Statement: [Gdańsk Voivodeship (post-1945), contains, Kwidzyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwidzyn
Context triple: [Gdańsk Voivodeship (post-1945), contains, Kwidzyn]
  • A. Kwidzyn chosen
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • B. Gryfice
    Gryfice is a historic town in northwestern Poland known for its medieval urban layout and remnants of defensive walls.
  • C. Świnoujście
    Świnoujście is a Polish port city and seaside resort on the Baltic Sea, known for its wide beaches, spa facilities, and strategic location at the mouth of the Świna River.
  • D. Śniardwy
    Śniardwy is the largest lake in Poland, located in the Masurian Lake District of northeastern Poland.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d859c8081909cec3aa64d264885 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.