Triple

T8797632
Position Surface form Disambiguated ID Type / Status
Subject Taunusstein E209327 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Bad Schwalbach E224972 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: Bad Schwalbach | Statement: [Taunusstein, hasNeighbouringMunicipality, Bad Schwalbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Schwalbach
Context triple: [Taunusstein, hasNeighbouringMunicipality, Bad Schwalbach]
  • A. Bad Schwalbach chosen
    Bad Schwalbach is a spa town in the German state of Hesse, known for its mineral springs and location in the Taunus mountains.
  • B. Schwalbach am Taunus
    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.
  • C. Bad Kreuznach
    Bad Kreuznach is a historic spa town in western Germany known for its saline springs, medieval architecture, and picturesque location along the Nahe River.
  • D. Bad Cannstatt
    Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
  • E. Bad Säckingen
    Bad Säckingen is a historic spa town in southwestern Germany on the Rhine River, known for its medieval old town and one of the longest covered wooden bridges in Europe.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa046aabc8190abca2957593edc8b completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:44 p.m.