Triple

T15266137
Position Surface form Disambiguated ID Type / Status
Subject Aleksander Majkowski E364905 entity
Predicate birthPlace P1 FINISHED
Object Kościerzyna E289205 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: Kościerzyna | Statement: [Aleksander Majkowski, birthPlace, Kościerzyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kościerzyna
Context triple: [Aleksander Majkowski, birthPlace, Kościerzyna]
  • A. Kościerzyna chosen
    Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • B. 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.
  • C. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • D. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • E. Kostrzyn nad Odrą
    Kostrzyn nad Odrą is a town in western Poland near the German border, known for its strategic location at the confluence of the Oder and Warta rivers and for hosting the large Pol'and'Rock music festival.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec19c508190912c3fe186f8a992 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 3:14 a.m.