Triple

T18804066
Position Surface form Disambiguated ID Type / Status
Subject Eschborn E459827 entity
Predicate borderedBy P224 FINISHED
Object Schwalbach am Taunus E760649 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: Schwalbach am Taunus | Statement: [Eschborn, borderedBy, Schwalbach am Taunus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwalbach am Taunus
Context triple: [Eschborn, borderedBy, Schwalbach am Taunus]
  • A. Schwalbach am Taunus chosen
    Schwalbach am Taunus is a small town in the Main-Taunus district of Hesse, Germany, located near Frankfurt and known for its residential character and proximity to the Taunus hills.
  • B. Bad Schwalbach
    Bad Schwalbach is a spa town in the German state of Hesse, known for its mineral springs and location in the Taunus mountains.
  • C. Nussloch
    Nussloch is a small town in southwestern Germany, known in part for hosting the headquarters of medical technology company Leica Biosystems.
  • D. Bad Soden am Taunus
    Bad Soden am Taunus is a spa town in Hesse, Germany, known for its mineral springs and location on the slopes of the Taunus mountains near Frankfurt.
  • E. Mosbach
    Mosbach is a historic town in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its well-preserved medieval old town and half-timbered architecture.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a025faf48190be07086071df5b34 completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a054725edbc819099ad8200394653ec completed May 14, 2026, 3:53 a.m.
Created at: April 10, 2026, 11:53 a.m.