Triple

T17736566
Position Surface form Disambiguated ID Type / Status
Subject Siesmayerstraße E442733 entity
Predicate cityDistrict P2709 FINISHED
Object Westend-Süd 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: Westend-Süd | Statement: [Siesmayerstraße, cityDistrict, Westend-Süd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westend-Süd
Context triple: [Siesmayerstraße, cityDistrict, Westend-Süd]
  • A. Westend-Süd chosen
    Westend-Süd is an affluent central district of Frankfurt am Main, Germany, known for its elegant residential streets, historic architecture, and proximity to the city’s financial and cultural hubs.
  • B. Westend-Nord
    Westend-Nord is a district in the Westend area of Frankfurt am Main, Germany, known for its upscale residential streets, historic architecture, and proximity to the city center.
  • C. Magniviertel
    Magniviertel is a historic quarter in Braunschweig, Germany, known for its medieval street layout, half-timbered houses, and lively cultural and nightlife scene.
  • D. Unterstrass
    Unterstrass is a district in the city of Zurich, Switzerland, known for its residential character and proximity to the city center.
  • E. Beuel-Mitte
    Beuel-Mitte is the central district of the Beuel borough in Bonn, Germany, serving as its main urban and commercial area.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478ec48988190a503f9aafeab6d23 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:08 a.m.