Triple

T6583313
Position Surface form Disambiguated ID Type / Status
Subject Strücklingen dialect E157355 entity
Predicate spokenIn P2266 FINISHED
Object Strücklingen E611874 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: Strücklingen | Statement: [Strücklingen dialect, spokenIn, Strücklingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strücklingen
Context triple: [Strücklingen dialect, spokenIn, Strücklingen]
  • A. Strücklingen chosen
    Strücklingen is a village in the municipality of Saterland in Lower Saxony, northwestern Germany.
  • B. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • C. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • D. Stühlingen
    Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
  • E. Wolmirstedt
    Wolmirstedt is a small town in the German state of Saxony-Anhalt, located near Magdeburg and known for its historical town center and regional administrative role.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae938184819088234aad9cc997e1 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70068dc4c8190aada1219207b067f completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:54 p.m.