Triple

T32720504
Position Surface form Disambiguated ID Type / Status
Subject Bujumbura Rural Province E836658 entity
Predicate contains P35 FINISHED
Object Mount Heha, highest mountain in Burundi
Mount Heha is the highest peak in Burundi, a prominent mountain in the western part of the country known for its scenic views over the surrounding highlands and nearby Lake Tanganyika.
E2019164 NE FINISHED

How this triple was built (2 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: Mount Heha, highest mountain in Burundi | Statement: [Bujumbura Rural Province, contains, Mount Heha, highest mountain in Burundi]
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: Mount Heha, highest mountain in Burundi
Triple: [Bujumbura Rural Province, contains, Mount Heha, highest mountain in Burundi]
Generated description
Mount Heha is the highest peak in Burundi, a prominent mountain in the western part of the country known for its scenic views over the surrounding highlands and nearby Lake Tanganyika.

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_69f34935455881909088975d79460418 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c8b304ec8190b63babe3982c0b68 completed May 3, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349ed4bd7081908b3fa5c07e7bdc46 completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f7f7c1c81908cf908084632c815 completed June 19, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_6a34a0220314819091450074e783e841 completed June 19, 2026, 1:49 a.m.
Created at: May 1, 2026, 1:11 a.m.