Triple

T15968957
Position Surface form Disambiguated ID Type / Status
Subject Vlotho E387269 entity
Predicate hasSubdivision P747 FINISHED
Object Valdorf
Valdorf is a district or locality within the town of Vlotho in the German state of North Rhine-Westphalia.
E1199738 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: Valdorf | Statement: [Vlotho, hasSubdivision, Valdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdorf
Context triple: [Vlotho, hasSubdivision, Valdorf]
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Arzdorf
    Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Langdorf
    Langdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • D. Diedorf
    Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
  • E. Freyburg
    Freyburg is a historic town in the German state of Saxony-Anhalt, renowned for its wine production and medieval architecture.
  • 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: Valdorf
Triple: [Vlotho, hasSubdivision, Valdorf]
Generated description
Valdorf is a district or locality within the town of Vlotho in the German state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valdorf
Target entity description: Valdorf is a district or locality within the town of Vlotho in the German state of North Rhine-Westphalia.
  • A. Betzdorf
    Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
  • B. Arzdorf
    Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Langdorf
    Langdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
  • D. Diedorf
    Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
  • E. Freyburg
    Freyburg is a historic town in the German state of Saxony-Anhalt, renowned for its wine production and medieval architecture.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee76e9481908e74c32cb8263875 completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a00036dc34c8190b485267687f0a7f8 completed May 10, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0003c6e65881909dc4cc3398690455 completed May 10, 2026, 4:04 a.m.
Created at: April 10, 2026, 4:54 a.m.