Triple

T15187712
Position Surface form Disambiguated ID Type / Status
Subject Mayen-Koblenz E362920 entity
Predicate containsTown P847 FINISHED
Object Mayen
Mayen is a historic town in western Germany’s Rhineland-Palatinate, known for its medieval architecture and proximity to the volcanic Eifel region.
 E761535 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: Mayen | Statement: [Mayen-Koblenz, containsTown, Mayen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mayen
Context triple: [Mayen-Koblenz, containsTown, Mayen]
  • A. Mayen
    Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
  • B. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • C. Steinsel
    Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
  • D. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • E. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • 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: Mayen
Triple: [Mayen-Koblenz, containsTown, Mayen]
Generated description
Mayen is a historic town in western Germany’s Rhineland-Palatinate, known for its medieval architecture and proximity to the volcanic Eifel region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mayen
Target entity description: Mayen is a historic town in western Germany’s Rhineland-Palatinate, known for its medieval architecture and proximity to the volcanic Eifel region.
  • A. Mayen chosen
    Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
  • B. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • C. Steinsel
    Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
  • D. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • E. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • F. None of above.

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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067995fc8190b048f15086bd42f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed32e425c819083f10f947c258a9b completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed4ad30e08190901c73994679bff4 completed May 9, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69fed50956408190b1426d578803974e completed May 9, 2026, 6:32 a.m.
Created at: April 10, 2026, 3:09 a.m.