Triple

T5394516
Position Surface form Disambiguated ID Type / Status
Subject Vårsta–Grödinge area E120617 entity
Predicate contains P35 FINISHED
Object Grödinge E154622 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: Grödinge | Statement: [Vårsta–Grödinge area, contains, Grödinge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grödinge
Context triple: [Vårsta–Grödinge area, contains, Grödinge]
  • A. Grödinge chosen
    Grödinge is a rural locality in eastern Sweden known for its countryside landscapes and proximity to the Stockholm metropolitan area.
  • B. Grubenhagen
    Grubenhagen is a locality in Germany situated along the River Leine, historically associated with the former Principality of Grubenhagen in Lower Saxony.
  • C. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • D. Gehren
    Gehren is a small town in the German state of Thuringia, historically notable as the birthplace of Maria Barbara Bach, first wife of composer Johann Sebastian Bach.
  • E. Böbing
    Böbing is a small municipality in the Weilheim-Schongau district of Bavaria, Germany, known for its rural setting in the Alpine foothills.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87441a208190b79561614759894b completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a9b9ff881908edc10f29f62df1c completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 2:04 p.m.