Triple

T18965194
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A46 E464015 entity
Predicate connectsCity P4245 FINISHED
Object Menden 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: Menden | Statement: [Autobahn A46, connectsCity, Menden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Menden
Context triple: [Autobahn A46, connectsCity, Menden]
  • A. Menden chosen
    Menden is a town in North Rhine-Westphalia, Germany, known for its location in the Sauerland region and its involvement in World War II events such as the Ruhr Pocket.
  • B. Mendon
    Mendon is a small town in central Vermont known for its rural character and proximity to the Green Mountains.
  • C. Holly Springs
    Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
  • D. Martensville
    Martensville is a small but rapidly growing suburban city in Saskatchewan, Canada, located just north of Saskatoon.
  • E. Longbenton
    Longbenton is a suburban area in Tyne and Wear, England, situated near Newcastle upon Tyne and known largely as a residential community.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d663948190b496fbd2e69c7f43 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon