Triple

T10171617
Position Surface form Disambiguated ID Type / Status
Subject Sorpedamm E235343 entity
Predicate locatedNear P294 FINISHED
Object Langscheid E228423 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: Langscheid | Statement: [Sorpedamm, locatedNear, Langscheid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langscheid
Context triple: [Sorpedamm, locatedNear, Langscheid]
  • A. Langscheid chosen
    Langscheid is a village in the Sauerland region of North Rhine-Westphalia, Germany, known for its scenic setting by the Sorpe Dam and its recreational tourism.
  • B. Hammersbach
    Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
  • C. Langenschwalbach
    Langenschwalbach is the historical name of Bad Schwalbach, a spa town in the Taunus region of Hesse, Germany, known for its mineral springs and health resorts.
  • D. Rheydt
    Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
  • E. Hilchenbach
    Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30101e3ec819095a587c0dae55f71 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.