Triple

T16246503
Position Surface form Disambiguated ID Type / Status
Subject Bahnhofsviertel E394383 entity
Predicate adjacentTo P224 FINISHED
Object Gallus (Frankfurt am Main) E1200789 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: Gallus (Frankfurt am Main) | Statement: [Bahnhofsviertel, adjacentTo, Gallus (Frankfurt am Main)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallus (Frankfurt am Main)
Context triple: [Bahnhofsviertel, adjacentTo, Gallus (Frankfurt am Main)]
  • A. Frankfurt-Galluswarte
    Frankfurt-Galluswarte is a railway station and urban district area in Frankfurt am Main, Germany, serving as a local transit hub on the city’s S-Bahn network.
  • B. Gallus (Frankfurt am Main city district) chosen
    Gallus is a diverse, historically working-class district of Frankfurt am Main known for its mix of residential areas, industrial heritage, and ongoing urban redevelopment.
  • C. Godesberg
    Godesberg is a historic district in Bonn, Germany, known for its medieval castle ruins and role in regional conflicts such as the Cologne War.
  • D. Landsberg
    Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
  • E. Gehrden
    Gehrden is a small town in Lower Saxony, Germany, located near Hanover and known for its surrounding rural villages and scenic landscapes.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245931074819096f38003da70f271 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.