Triple

T15174433
Position Surface form Disambiguated ID Type / Status
Subject Chucuito Province E362567 entity
Predicate hasSettlement P1068 FINISHED
Object Kelluyo
Kelluyo is a small town and district capital in southern Peru’s Puno Region, known for its high Andean setting and traditional Aymara culture.
 E1142188 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: Kelluyo | Statement: [Chucuito Province, hasSettlement, Kelluyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kelluyo
Context triple: [Chucuito Province, hasSettlement, Kelluyo]
  • A. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Uluka
    Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • 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: Kelluyo
Triple: [Chucuito Province, hasSettlement, Kelluyo]
Generated description
Kelluyo is a small town and district capital in southern Peru’s Puno Region, known for its high Andean setting and traditional Aymara culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kelluyo
Target entity description: Kelluyo is a small town and district capital in southern Peru’s Puno Region, known for its high Andean setting and traditional Aymara culture.
  • A. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • C. Uluka
    Uluka is an alternative name for the Kannada language, a major Dravidian language spoken predominantly in the Indian state of Karnataka.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88e7ff481909e3d2b280689aeba completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fecb7b5bdc81908bb5330bf4035b51 completed May 9, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_69fecbeb73f081909695e10aff1b0743 completed May 9, 2026, 5:53 a.m.
Created at: April 10, 2026, 3:09 a.m.