Triple

T23287039
Position Surface form Disambiguated ID Type / Status
Subject Verwall Group E589015 entity
Predicate borderedBy P224 FINISHED
Object Klostertal 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: Klostertal | Statement: [Verwall Group, borderedBy, Klostertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klostertal
Context triple: [Verwall Group, borderedBy, Klostertal]
  • A. Klostertal chosen
    Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
  • B. Löstertal
    Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
  • C. Deggenhausertal
    Deggenhausertal is a rural municipality in the Bodenseekreis district of Baden-Württemberg in southern Germany, known for its scenic valley landscape near Lake Constance.
  • D. Lesachtal
    Lesachtal is a remote alpine municipality in the Austrian state of Carinthia, known for its unspoiled mountain landscapes and traditional rural culture.
  • E. Kammeltal
    Kammeltal is a municipality in the Bavarian region of Swabia in southern 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19648842c81909756be4bc06b3a45 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5 p.m.