Triple

T12566918
Position Surface form Disambiguated ID Type / Status
Subject Province of Westphalia E295497 entity
Predicate containsSettlement P847 FINISHED
Object Sendenhorst
Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
E1000361 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: Sendenhorst | Statement: [Province of Westphalia, containsSettlement, Sendenhorst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sendenhorst
Context triple: [Province of Westphalia, containsSettlement, Sendenhorst]
  • A. Hangelsberg
    Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
  • B. Herbertshöhe
    Herbertshöhe was the administrative center of the German colonial territory of German New Guinea, located on the island of New Britain in the Bismarck Archipelago.
  • C. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • D. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • E. Hochsölden
    Hochsölden is a small alpine ski resort village in the Austrian Tyrol, known for its high-altitude slopes and direct access to the larger Sölden ski area.
  • 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: Sendenhorst
Triple: [Province of Westphalia, containsSettlement, Sendenhorst]
Generated description
Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sendenhorst
Target entity description: Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
  • A. Hangelsberg
    Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
  • B. Herbertshöhe
    Herbertshöhe was the administrative center of the German colonial territory of German New Guinea, located on the island of New Britain in the Bismarck Archipelago.
  • C. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • D. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • E. Hochsölden
    Hochsölden is a small alpine ski resort village in the Austrian Tyrol, known for its high-altitude slopes and direct access to the larger Sölden ski area.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6c21348190b851fce31df307e2 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ececce8819080335e67bd747057 completed May 2, 2026, 10:46 p.m.
Created at: April 8, 2026, 11:49 p.m.