Triple

T9985350
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Böll E196552 entity
Predicate residence P75 FINISHED
Object Langenbroich E834454 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: Langenbroich | Statement: [Heinrich Böll, residence, Langenbroich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenbroich
Context triple: [Heinrich Böll, residence, Langenbroich]
  • A. Langenbroich chosen
    Langenbroich is a small village in western Germany best known as the longtime residence and death place of Nobel Prize–winning author Heinrich Böll.
  • B. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • C. Redoute Bad Godesberg
    Redoute Bad Godesberg is a historic neoclassical event and concert venue in the Bonn district of Bad Godesberg, Germany, known for hosting cultural and social functions.
  • D. Feusisberg
    Feusisberg is a municipality in the canton of Schwyz in Switzerland, known for its scenic location above Lake Zurich and its favorable tax environment.
  • E. Schwetzinger Hardt
    Schwetzinger Hardt is a large forested area in southwestern Germany known for its mixed woodlands and recreational opportunities near the town of Walldorf in Baden-Württemberg.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bf5adc81908c862b75053dd8f1 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a15f2708190bdc4223d933cec0f completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:49 p.m.