Triple

T22476611
Position Surface form Disambiguated ID Type / Status
Subject Westend (Frankfurt am Main) E555646 entity
Predicate adjacentTo P224 FINISHED
Object Bockenheim 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: Bockenheim | Statement: [Westend (Frankfurt am Main), adjacentTo, Bockenheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bockenheim
Context triple: [Westend (Frankfurt am Main), adjacentTo, Bockenheim]
  • A. Bockenheim chosen
    Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
  • B. Frankfurt Bockenheim district
    Frankfurt Bockenheim district is a central urban quarter of Frankfurt am Main, Germany, known for its mix of residential areas, commercial activity, and proximity to major transport links and educational institutions.
  • C. Bockenheim an der Weinstraße
    Bockenheim an der Weinstraße is a wine-growing municipality in Rhineland-Palatinate, Germany, known as the northern gateway to the German Wine Route.
  • D. Stadelhofen
    Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • E. Frankfurt (Main) Süd
    Frankfurt (Main) Süd is a major railway station in Frankfurt am Main, Germany, serving regional, S-Bahn, and long-distance trains south of the city center.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be48cec8190baff90f8566a85d0 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.