Triple

T13536491
Position Surface form Disambiguated ID Type / Status
Subject Bahnhofsviertel (Frankfurt am Main) E323275 entity
Predicate adjacentTo P224 FINISHED
Object Gallus (Frankfurt am Main) E983706 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 (Frankfurt am Main), 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 (Frankfurt am Main), adjacentTo, Gallus (Frankfurt am Main)]
  • A. Frankfurt-Galluswarte chosen
    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. 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.
  • C. Landsberg
    Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
  • D. Gehrden
    Gehrden is a small town in Lower Saxony, Germany, located near Hanover and known for its surrounding rural villages and scenic landscapes.
  • E. Griesheim
    Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.