Triple

T21457753
Position Surface form Disambiguated ID Type / Status
Subject Wahlkreis Rheintal E529385 entity
Predicate containsMunicipality P852 FINISHED
Object Eichberg 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: Eichberg | Statement: [Wahlkreis Rheintal, containsMunicipality, Eichberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eichberg
Context triple: [Wahlkreis Rheintal, containsMunicipality, Eichberg]
  • A. Eichberg chosen
    Eichberg is a municipality in the Swiss canton of St. Gallen, situated in the Rhine Valley region near the border with Austria.
  • B. Häg-Ehrsberg
    Häg-Ehrsberg is a small rural municipality in the Black Forest region of southwestern Germany, known for its forested landscapes and traditional village character.
  • C. Witzmannsberg
    Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
  • D. Sieglitzer Berg
    Sieglitzer Berg is a wooded landscape area and former hunting ground that forms part of the UNESCO-listed Garden Kingdom of Dessau-Wörlitz in Saxony-Anhalt, Germany.
  • E. Dörnberg
    Dörnberg is a prominent hill and nature area in the Habichtswald range in Hesse, Germany, known for its distinctive basalt formations and scenic hiking trails.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:08 p.m.