Triple

T3000880
Position Surface form Disambiguated ID Type / Status
Subject Mount Kenya E81182 entity
Predicate hasSummit P8024 FINISHED
Object Batian
Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
 E318860 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: Batian | Statement: [Mount Kenya, hasSummit, Batian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batian
Context triple: [Mount Kenya, hasSummit, Batian]
  • A. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • B. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • C. Tabogon
    Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
  • D. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • E. Bonalu
    Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
  • 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: Batian
Triple: [Mount Kenya, hasSummit, Batian]
Generated description
Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batian
Target entity description: Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
  • A. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • B. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • C. Tabogon
    Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
  • D. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • E. Bonalu
    Bonalu is a traditional Hindu folk festival of Telangana centered on the worship of the goddess Mahakali, marked by colorful processions, ritual offerings, and regional music and dance.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e4b54188190bf900bf10061a57a completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12f188c7c81908d1d575252dc4bda completed March 11, 2026, 9 a.m.
NED2 Entity disambiguation (via description) batch_69b1c9bccb3081909e6869b5cba68117 completed March 11, 2026, 7:59 p.m.
Created at: March 8, 2026, 2:59 p.m.