Triple

T6356053
Position Surface form Disambiguated ID Type / Status
Subject Zemst E142992 entity
Predicate hasSubdivision P747 FINISHED
Object Zemst-Laar E142992 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: Zemst-Laar | Statement: [Zemst, hasSubdivision, Zemst-Laar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zemst-Laar
Context triple: [Zemst, hasSubdivision, Zemst-Laar]
  • A. Löwenberg
    Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
  • B. Zemst chosen
    Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
  • C. Dzerzhinsk
    Dzerzhinsk is a major industrial city in western Russia known for its large chemical manufacturing sector and associated environmental issues.
  • D. Zemtsov
    Zemtsov is a Russian surname most notably borne by violist Mikhail Zemtsov.
  • E. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e22c00819089bc68efb85bc2c8 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.