Triple

T30793172
Position Surface form Disambiguated ID Type / Status
Subject Regency of Simalungun E784154 entity
Predicate borderedBy P224 FINISHED
Object Regency of Samosir
Regency of Samosir is an administrative region in North Sumatra, Indonesia, encompassing much of Samosir Island in Lake Toba and known for its Batak Toba culture and scenic volcanic landscapes.
E1940365 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: Regency of Samosir | Statement: [Regency of Simalungun, borderedBy, Regency of Samosir]
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: Regency of Samosir
Triple: [Regency of Simalungun, borderedBy, Regency of Samosir]
Generated description
Regency of Samosir is an administrative region in North Sumatra, Indonesia, encompassing much of Samosir Island in Lake Toba and known for its Batak Toba culture and scenic volcanic landscapes.

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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6901035b88190ba857258707694cf completed May 3, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_6a28fb9941f081909002bcd2ced66753 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28ff7a61d88190a300a04b448f4197 completed June 10, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a29000073b081908686e42c73fabfce completed June 10, 2026, 6:11 a.m.
Created at: April 29, 2026, 8:42 p.m.