Triple

T20581913
Position Surface form Disambiguated ID Type / Status
Subject Nethe E505677 entity
Predicate flowsNear P350 FINISHED
Object Borgentreich 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: Borgentreich | Statement: [Nethe, flowsNear, Borgentreich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borgentreich
Context triple: [Nethe, flowsNear, Borgentreich]
  • A. Borgentreich chosen
    Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
  • B. Freyburg
    Freyburg is a historic town in the German state of Saxony-Anhalt, renowned for its wine production and medieval architecture.
  • C. Marxheim
    Marxheim is a district of the town Hofheim am Taunus in the German state of Hesse.
  • D. Hartberg
    Hartberg is a small historic town in southeastern Austria known for its medieval architecture, vineyards, and location in the Styrian hill country.
  • E. Fricktal
    Fricktal is a region in northwestern Switzerland known for its rural landscapes, vineyards, and location along the Rhine near the German border.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90f7e34819086b1745dcd53ba25 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:40 a.m.