Triple

T6213083
Position Surface form Disambiguated ID Type / Status
Subject Lippe E138916 entity
Predicate hasEthnonym P1435 FINISHED
Object Lipper
Lipper is an ethnonym referring to the people originating from or associated with the Lippe region in Germany.
E575700 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: Lipper | Statement: [Lippe, hasEthnonym, Lipper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipper
Context triple: [Lippe, hasEthnonym, Lipper]
  • A. Blackrock
    Blackrock is a suburban residential area of Cork city in County Cork, Ireland, known for its riverside location along the River Lee and historic maritime and industrial heritage.
  • B. Fama
    Fama is the surname of Eugene Fama, a Nobel Prize–winning American economist renowned for his work on efficient markets and asset pricing.
  • C. Morningstar, Inc.
    Morningstar, Inc. is a leading global provider of independent investment research, data, and analytics for individual investors and financial professionals.
  • D. Gartmore
    Gartmore is a small rural village in the Stirling council area of Scotland, situated within the scenic Trossachs region.
  • E. Templeton Growth Fund
    Templeton Growth Fund is a pioneering global mutual fund founded by legendary investor John Templeton, known for its long-term, value-oriented international investing approach.
  • 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: Lipper
Triple: [Lippe, hasEthnonym, Lipper]
Generated description
Lipper is an ethnonym referring to the people originating from or associated with the Lippe region in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lipper
Target entity description: Lipper is an ethnonym referring to the people originating from or associated with the Lippe region in Germany.
  • A. Blackrock
    Blackrock is a suburban residential area of Cork city in County Cork, Ireland, known for its riverside location along the River Lee and historic maritime and industrial heritage.
  • B. Fama
    Fama is the surname of Eugene Fama, a Nobel Prize–winning American economist renowned for his work on efficient markets and asset pricing.
  • C. Morningstar, Inc.
    Morningstar, Inc. is a leading global provider of independent investment research, data, and analytics for individual investors and financial professionals.
  • D. Gartmore
    Gartmore is a small rural village in the Stirling council area of Scotland, situated within the scenic Trossachs region.
  • E. Templeton Growth Fund
    Templeton Growth Fund is a pioneering global mutual fund founded by legendary investor John Templeton, known for its long-term, value-oriented international investing approach.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628c52ec8190b9c62c7fdc0aa83b completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f5cf41c8190b4efb1dc0a4a0e5e completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d54bffa881909edcd1342b8d8ce5 completed March 24, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69c1d7aec88081908bde0557888b5524 completed March 24, 2026, 12:15 a.m.
Created at: March 22, 2026, 4:21 p.m.