Triple

T15309492
Position Surface form Disambiguated ID Type / Status
Subject Yorckstraße (Großgörschenstraße) E365990 entity
Predicate hasNameComponent P24447 FINISHED
Object Großgörschenstraße E370239 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: Großgörschenstraße | Statement: [Yorckstraße (Großgörschenstraße), hasNameComponent, Großgörschenstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großgörschenstraße
Context triple: [Yorckstraße (Großgörschenstraße), hasNameComponent, Großgörschenstraße]
  • A. Großgörschenstraße chosen
    Großgörschenstraße is a street in Berlin, Germany, known among other things for bordering the historic Alter St.-Matthäus-Kirchhof cemetery.
  • B. Hedderichstraße
    Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
  • C. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • D. Vorbergstraße
    Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
  • E. Güntzelstraße
    Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001799fbac8190b75a48a8c63e3381 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 3:16 a.m.