Triple

T4124309
Position Surface form Disambiguated ID Type / Status
Subject Lennep E92687 entity
Predicate hasLandmark P105 FINISHED
Object Altstadt Lennep E92687 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: Altstadt Lennep | Statement: [Lennep, hasLandmark, Altstadt Lennep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altstadt Lennep
Context triple: [Lennep, hasLandmark, Altstadt Lennep]
  • A. Lennep chosen
    Lennep is a historic district of the German city of Remscheid in North Rhine-Westphalia, known as the birthplace of physicist Wilhelm Röntgen.
  • B. Etten-Leur
    Etten-Leur is a town and municipality in the southern Netherlands known for its historical connection to Vincent van Gogh and its location near the city of Breda.
  • C. Heiligenhaus
    Heiligenhaus is a small town in North Rhine-Westphalia, western Germany, known for its manufacturing industry and location between Düsseldorf and Essen.
  • D. Vredenburg
    Vredenburg is a town on South Africa’s West Coast that serves as a regional commercial and service hub near Saldanha Bay.
  • E. Langenheim
    Langenheim is the German-origin family surname of Australian model, actress, and television presenter Ruby Rose.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0208903c8190a7f451a455d3e253 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b67fc881909d12481e61a07bf5 completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.