Triple

T10711679
Position Surface form Disambiguated ID Type / Status
Subject Höxter E252551 entity
Predicate hasTwinTown P919 FINISHED
Object Bytow E286474 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: Bytow | Statement: [Höxter, hasTwinTown, Bytow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bytow
Context triple: [Höxter, hasTwinTown, Bytow]
  • A. Bytów chosen
    Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
  • B. Otwock
    Otwock is a town in east-central Poland known as a suburban spa and residential area within the broader Warsaw region.
  • C. Bartoszyce
    Bartoszyce is a town in northern Poland known for its historical architecture and location near the border with Russia’s Kaliningrad Oblast.
  • D. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • E. Bodzentyn
    Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe523de08190a82c8f057fe8baf6 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82a0cf48190a201a533c7387512 completed May 3, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:13 p.m.