Triple

T16310656
Position Surface form Disambiguated ID Type / Status
Subject Rheinberg E396044 entity
Predicate subdivision P747 FINISHED
Object Budberg
Budberg is a district of the German town of Rheinberg in the state of North Rhine-Westphalia.
E1206350 NE FINISHED

How this triple was built (4 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: Budberg | Statement: [Rheinberg, subdivision, Budberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budberg
Context triple: [Rheinberg, subdivision, Budberg]
  • A. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • B. Burgberg
    Burgberg is a hill known for hosting the Burgberg cable car, a popular ascent route and viewpoint in its region.
  • C. Arenberg
    Arenberg is a historic town in western Germany that served as the political and administrative center of the former Duchy of Arenberg.
  • D. Baar-Ebenhausen
    Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
  • E. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Budberg
Triple: [Rheinberg, subdivision, Budberg]
Generated description
Budberg is a district of the German town of Rheinberg in the state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Budberg
Target entity description: Budberg is a district of the German town of Rheinberg in the state of North Rhine-Westphalia.
  • A. Burgberg
    Burgberg is a district of the town Giengen an der Brenz in the state of Baden-Württemberg, Germany.
  • B. Burgberg
    Burgberg is a hill known for hosting the Burgberg cable car, a popular ascent route and viewpoint in its region.
  • C. Arenberg
    Arenberg is a historic town in western Germany that served as the political and administrative center of the former Duchy of Arenberg.
  • D. Baar-Ebenhausen
    Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
  • E. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • F. None of above. chosen

Provenance (5 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa6ceb48190b937a15b94fd3cfa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00219696dc8190bcce66c1eeb07561 completed May 10, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.