Triple

T9751480
Position Surface form Disambiguated ID Type / Status
Subject Klaus Groth E236451 entity
Predicate notableWork P4 FINISHED
Object Quickborn E659844 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: Quickborn | Statement: [Klaus Groth, notableWork, Quickborn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quickborn
Context triple: [Klaus Groth, notableWork, Quickborn]
  • A. Quickborn chosen
    Quickborn is a town in northern Germany, located in the state of Schleswig-Holstein, known for its residential character and proximity to Hamburg.
  • B. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • C. Fedje
    Fedje is a small island municipality off the western coast of Norway, known for its fishing heritage and scenic North Sea landscapes.
  • D. Wittenborn
    Wittenborn was a notable mid-20th-century art and design book publisher known for producing influential works in modern art, architecture, and design.
  • E. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b020829481908456e7977c5f9adb completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.