Triple

T15187731
Position Surface form Disambiguated ID Type / Status
Subject Mayen-Koblenz E362920 entity
Predicate containsMunicipality P852 FINISHED
Object Saffig
Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
 E1142344 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: Saffig | Statement: [Mayen-Koblenz, containsMunicipality, Saffig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saffig
Context triple: [Mayen-Koblenz, containsMunicipality, Saffig]
  • A. Saphrax
    Saphrax was a Gothic military leader who played a prominent role in the late 4th-century conflicts between the Goths and the Eastern Roman Empire.
  • B. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • C. Sullane
    The Sullane is a river in County Cork, Ireland, that flows through the town of Macroom before joining the River Lee.
  • D. Fainall
    Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
  • E. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • 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: Saffig
Triple: [Mayen-Koblenz, containsMunicipality, Saffig]
Generated description
Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saffig
Target entity description: Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • A. Saphrax
    Saphrax was a Gothic military leader who played a prominent role in the late 4th-century conflicts between the Goths and the Eastern Roman Empire.
  • B. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • C. Sullane
    The Sullane is a river in County Cork, Ireland, that flows through the town of Macroom before joining the River Lee.
  • D. Fainall
    Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
  • E. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • 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_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_69fec895b59c81908a09f8393a35aa13 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec9ece2fc8190811e83185cdb4dfc completed May 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69fecc58d7b0819082090b6205b77b16 completed May 9, 2026, 5:55 a.m.
Created at: April 10, 2026, 3:09 a.m.