Triple

T8883115
Position Surface form Disambiguated ID Type / Status
Subject Schwangau E211457 entity
Predicate hasMountain P10602 FINISHED
Object Tegelberg E764282 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: Tegelberg | Statement: [Schwangau, hasMountain, Tegelberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegelberg
Context triple: [Schwangau, hasMountain, Tegelberg]
  • A. Tegelberg Mountain chosen
    Tegelberg Mountain is a scenic peak in the Bavarian Alps of southern Germany, popular for hiking, paragliding, and its views over nearby castles and lakes.
  • B. Vaalserberg
    Vaalserberg is a hill in the southeastern Netherlands known as the country's highest point and the location of the tripoint where the borders of the Netherlands, Germany, and Belgium meet.
  • C. Beerenberg
    Beerenberg is an active stratovolcano and the northernmost subaerial volcano on Earth, dominating the Arctic island of Jan Mayen in the North Atlantic.
  • D. Bergschenhoek
    Bergschenhoek is a town in the Dutch province of South Holland that serves as the administrative center of the municipality of Lansingerland.
  • E. Nuweveldberge
    Nuweveldberge is a mountain range in South Africa that forms part of the Great Escarpment and is known for its rugged terrain and semi-arid Karoo landscapes.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba1809dc81909776f1268cae9004 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:53 p.m.