Triple

T8083437
Position Surface form Disambiguated ID Type / Status
Subject HuMP (Hundred Metre Prominence) classification E188672 entity
Predicate hasAbbreviation P43 FINISHED
Object HuMP
HuMP is a British hill classification for summits with a topographic prominence of at least 100 metres, regardless of their absolute height.
 E711167 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: HuMP | Statement: [HuMP (Hundred Metre Prominence) classification, hasAbbreviation, HuMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HuMP
Context triple: [HuMP (Hundred Metre Prominence) classification, hasAbbreviation, HuMP]
  • A. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • B. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • C. Ham
    Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
  • D. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • E. Ham
    Ham is a municipality in the Belgian province of Limburg, known for its rural character and location in the Flemish Region.
  • 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: HuMP
Triple: [HuMP (Hundred Metre Prominence) classification, hasAbbreviation, HuMP]
Generated description
HuMP is a British hill classification for summits with a topographic prominence of at least 100 metres, regardless of their absolute height.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HuMP
Target entity description: HuMP is a British hill classification for summits with a topographic prominence of at least 100 metres, regardless of their absolute height.
  • A. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • B. Ham
    Ham is a municipality in the Belgian province of Limburg, known for its rural character and location in the Flemish Region.
  • C. Ham
    Ham is a small town in the Somme department of northern France, known historically for its medieval fortress and strategic location.
  • D. Ham
    Ham is a suburban riverside district in southwest London, England, known for its historic houses, green spaces, and proximity to the River Thames.
  • E. Ham
    Ham is a biblical figure known as one of Noah’s sons and a progenitor of several ancient peoples mentioned in the Hebrew Bible.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415cb4688190920868317e77bbff completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ff37a88190a980e023a9b7c30c completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68634dc88190bc9b9e0598929d4d completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc694d861c8190b504352c1fad2c36 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:29 p.m.