Triple

T12600289
Position Surface form Disambiguated ID Type / Status
Subject Bergisches Land E300838 entity
Predicate contains P35 FINISHED
Object Odenthal
Odenthal is a municipality in western Germany’s North Rhine-Westphalia, known for its wooded landscapes and proximity to the city of Cologne.
E991905 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: Odenthal | Statement: [Bergisches Land, contains, Odenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odenthal
Context triple: [Bergisches Land, contains, Odenthal]
  • A. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • B. Warmond
    Warmond is a village in the Dutch province of South Holland, known for its historic estates and lakeside setting popular for water sports and recreation.
  • C. Murrhardt
    Murrhardt is a small historic town in the state of Baden-Württemberg in southwestern Germany, known for its scenic location in the Swabian-Franconian Forest.
  • D. Dulus
    Dulus is a bird genus best known for the palmchat, a highly social songbird endemic to Hispaniola and the sole member of its family, Dulidae.
  • E. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • 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: Odenthal
Triple: [Bergisches Land, contains, Odenthal]
Generated description
Odenthal is a municipality in western Germany’s North Rhine-Westphalia, known for its wooded landscapes and proximity to the city of Cologne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Odenthal
Target entity description: Odenthal is a municipality in western Germany’s North Rhine-Westphalia, known for its wooded landscapes and proximity to the city of Cologne.
  • A. Boerne
    Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
  • B. Warmond
    Warmond is a village in the Dutch province of South Holland, known for its historic estates and lakeside setting popular for water sports and recreation.
  • C. Murrhardt
    Murrhardt is a small historic town in the state of Baden-Württemberg in southwestern Germany, known for its scenic location in the Swabian-Franconian Forest.
  • D. Dulus
    Dulus is a bird genus best known for the palmchat, a highly social songbird endemic to Hispaniola and the sole member of its family, Dulidae.
  • E. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954d1f6ac8190ab21ca7bcbc80129 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec92c6c8190bd2d193e70940407 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65faf33e0819092df07a5fa98cb73 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f66036f520819098af75cd5578d573 completed May 2, 2026, 8:36 p.m.
Created at: April 9, 2026, 5:09 p.m.