Triple

T10455090
Position Surface form Disambiguated ID Type / Status
Subject Munster E246530 entity
Predicate hasNameInAlsatian P94139 FINISHED
Object Minschter
Minschter is the Alsatian name for the city of Munster in the Alsace region of France.
E864309 NE FINISHED

How this triple was built (5 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: Minschter | Statement: [Munster, hasNameInAlsatian, Minschter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minschter
Context triple: [Munster, hasNameInAlsatian, Minschter]
  • A. Meckenheim
    Meckenheim is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its fruit cultivation and proximity to Bonn.
  • B. Meerbusch
    Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
  • C. Gescher
    Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
  • D. Manching
    Manching is a Bavarian municipality in southern Germany known for its archaeological Celtic oppidum and its proximity to the city of Ingolstadt.
  • E. Neustadt
    Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
  • 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: Minschter
Triple: [Munster, hasNameInAlsatian, Minschter]
Generated description
Minschter is the Alsatian name for the city of Munster in the Alsace region of France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minschter
Target entity description: Minschter is the Alsatian name for the city of Munster in the Alsace region of France.
  • A. Meckenheim
    Meckenheim is a town in the Rhein-Sieg district of North Rhine-Westphalia, Germany, known for its fruit cultivation and proximity to Bonn.
  • B. Meerbusch
    Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
  • C. Gescher
    Gescher is a small town in western Germany’s Münsterland region, noted for its traditional bell foundries and rural character.
  • D. Manching
    Manching is a Bavarian municipality in southern Germany known for its archaeological Celtic oppidum and its proximity to the city of Ingolstadt.
  • E. Neustadt
    Neustadt is a vibrant district of Dresden, Germany, known for its historic architecture, lively arts scene, and numerous bars, cafes, and cultural venues.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInAlsatian
Context triple: [Munster, hasNameInAlsatian, Minschter]
  • A. hasNameInLuxembourgish
    Indicates that an entity is known or referred to by a specific name in the Luxembourgish language.
  • B. hasNameInOccitan
    Indicates that an entity is associated with a specific name expressed in the Occitan language.
  • C. nameInFrench
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • D. hasLatinName
    Indicates that an entity is associated with a specific Latin (scientific) name.
  • E. nameInGerman
    Indicates that an entity is known or referred to by a specific name in the German language.
  • F. None of above. chosen

Provenance (7 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe48d15c8190bae0d4859e6cda5d completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f10b45c81908f1d3128c65750f8 completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c562c081908aae846da8efb1a5 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dd0c28481908008aea09bf956ca completed April 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69d4fb7d353c8190a73f439a956c7606 completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d4fe058fcc81909428137d9ffd6d90 completed April 7, 2026, 12:52 p.m.
Created at: April 6, 2026, 12:18 p.m.