Triple

T1065998
Position Surface form Disambiguated ID Type / Status
Subject Kinder Scout E23210 entity
Predicate hasFeature P182 FINISHED
Object Kinder Low
Kinder Low is a prominent high point on the Kinder Scout plateau in the Peak District, often noted as one of the highest marked summits in the area.
 E124014 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: Kinder Low | Statement: [Kinder Scout, hasFeature, Kinder Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinder Low
Context triple: [Kinder Scout, hasFeature, Kinder Low]
  • A. KIDL
    KIDL is the former ICAO airport code for New York City's Idlewild Airport, which was later renamed John F. Kennedy International Airport.
  • B. Klein
    Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
  • C. X-Kid
    X-Kid is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
  • D. Child
    Child is a common English surname borne by various notable individuals, including the famed American chef and television personality Julia Child.
  • E. Childish Bambino
    Childish Bambino is the popular nickname of MLB star outfielder Juan Soto, highlighting his youthful swagger and prodigious, Babe Ruth–like hitting ability.
  • 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: Kinder Low
Triple: [Kinder Scout, hasFeature, Kinder Low]
Generated description
Kinder Low is a prominent high point on the Kinder Scout plateau in the Peak District, often noted as one of the highest marked summits in the area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinder Low
Target entity description: Kinder Low is a prominent high point on the Kinder Scout plateau in the Peak District, often noted as one of the highest marked summits in the area.
  • A. KIDL
    KIDL is the former ICAO airport code for New York City's Idlewild Airport, which was later renamed John F. Kennedy International Airport.
  • B. Klein
    Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
  • C. X-Kid
    X-Kid is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
  • D. Child
    Child is a common English surname borne by various notable individuals, including the famed American chef and television personality Julia Child.
  • E. Childish Bambino
    Childish Bambino is the popular nickname of MLB star outfielder Juan Soto, highlighting his youthful swagger and prodigious, Babe Ruth–like hitting ability.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b910c6d481909c56f961a0e8720c completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a336388190a6d18fda8a7a151d completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac43f306e48190b94f16749f5ba0d1 completed March 7, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ac44467c9c8190a82ea8158add468a completed March 7, 2026, 3:29 p.m.
Created at: March 1, 2026, 7:42 p.m.