Triple

T17103947
Position Surface form Disambiguated ID Type / Status
Subject Diez E415049 entity
Predicate locatedInRegion P40 FINISHED
Object Taunus E97286 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: Taunus | Statement: [Diez, locatedInRegion, Taunus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taunus
Context triple: [Diez, locatedInRegion, Taunus]
  • A. Taunus chosen
    Taunus is a low mountain range in central Germany known for its forested hills, spa towns, and proximity to the Rhine-Main metropolitan region.
  • B. Sveio
    Sveio is a coastal municipality in Vestland county in western Norway, known for its rugged shoreline, islands, and rural landscapes.
  • C. Trysilelva
    Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
  • D. Valberg
    Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
  • E. Valberg
    Valberg is a small coastal village located on the island of Vestvågøy in Norway’s Lofoten archipelago.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2591a881909c5f4f7db47f4d6c completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ffbe808190a24e827331ee4a6c completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.