Triple

T13063652
Position Surface form Disambiguated ID Type / Status
Subject Norderstedt E329259 entity
Predicate hasSisterCity P919 FINISHED
Object Białogard 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: Białogard | Statement: [Norderstedt, hasSisterCity, Białogard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Białogard
Context triple: [Norderstedt, hasSisterCity, Białogard]
  • A. Białogard chosen
    Białogard is a historic town in northwestern Poland, located in the West Pomeranian Voivodeship on the Parsęta River.
  • B. Grajewo
    Grajewo is a town in northeastern Poland known as a local administrative and industrial center near the border with the Warmian-Masurian region.
  • C. Wołomin
    Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
  • D. Bytów
    Bytów is a historic town in northern Poland known for its medieval Teutonic castle and picturesque setting within the Pomeranian region.
  • E. Pułtusk
    Pułtusk is a historic town in east-central Poland, known for its medieval heritage and its role as the site of several significant battles, including during the Napoleonic Wars.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
Created at: April 9, 2026, 8:59 p.m.