Triple

T20046710
Position Surface form Disambiguated ID Type / Status
Subject Groß-Gerau district E497576 entity
Predicate region P40 FINISHED
Object Rhein-Main 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: Rhein-Main | Statement: [Groß-Gerau district, region, Rhein-Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhein-Main
Context triple: [Groß-Gerau district, region, Rhein-Main]
  • A. Rhine-Main chosen
    Rhine-Main is a major metropolitan region in west-central Germany centered around the cities of Frankfurt, Wiesbaden, and Mainz, known as a key economic and transportation hub.
  • B. Rhine-Weser region
    The Rhine-Weser region is a historical area in western Germany associated with the early homeland and formation of the Frankish people.
  • C. Rhein-Ahr region
    The Rhein-Ahr region is an area in western Germany along the Rhine and Ahr rivers, known for its wine-growing landscapes, small towns, and regional educational and economic activities.
  • D. Neckar region
    The Neckar region is a picturesque area in southwestern Germany known for its river valley landscapes, historic towns, and numerous castles and vineyards.
  • E. Rhine region
    The Rhine region is a scenic cultural and wine-growing area along the Rhine River, known for its historic towns, castles, and river landscapes that attract many visitors.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.