Triple

T18273932
Position Surface form Disambiguated ID Type / Status
Subject Kaiserstuhl E437683 entity
Predicate contains P35 FINISHED
Object Ihringen 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: Ihringen | Statement: [Kaiserstuhl, contains, Ihringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ihringen
Context triple: [Kaiserstuhl, contains, Ihringen]
  • A. Ihringen chosen
    Ihringen is a wine-growing municipality in southwestern Germany, located in the Kaiserstuhl region of Baden-Württemberg near the French border.
  • B. Wehringen
    Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
  • C. Öhringen
    Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
  • D. Härkingen
    Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • E. Höchheim
    Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5005006108190bbddddbe6bbdc911 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.