Triple

T17861214
Position Surface form Disambiguated ID Type / Status
Subject Berger Straße E446074 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Bornheim 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: Bornheim | Statement: [Berger Straße, hasNeighbourhood, Bornheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornheim
Context triple: [Berger Straße, hasNeighbourhood, Bornheim]
  • A. Bornheim chosen
    Bornheim is a lively residential and nightlife district in Frankfurt am Main, Germany, known for its traditional cider taverns, historic streets, and vibrant local culture.
  • B. Budenheim
    Budenheim is a municipality in the German state of Rhineland-Palatinate, located near Mainz along the Rhine River.
  • C. Stammheim
    Stammheim is a district of the town of Calw in the state of Baden-Württemberg in southwestern Germany.
  • D. Benkheim
    Benkheim is the former German name for the village now known as Banie Mazurskie in northeastern Poland.
  • E. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.