Triple

T25731129
Position Surface form Disambiguated ID Type / Status
Subject Nuwakot District E645241 entity
Predicate containsSettlement P847 FINISHED
Object Shivapuri Rural Municipality
Shivapuri Rural Municipality is a local administrative unit in Nepal situated within Nuwakot District, known for its rural communities and hilly terrain.
E1703471 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: Shivapuri Rural Municipality | Statement: [Nuwakot District, containsSettlement, Shivapuri Rural Municipality]
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: Shivapuri Rural Municipality
Triple: [Nuwakot District, containsSettlement, Shivapuri Rural Municipality]
Generated description
Shivapuri Rural Municipality is a local administrative unit in Nepal situated within Nuwakot District, known for its rural communities and hilly terrain.

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_69e77e85254081908d79ee4e8715f283 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fcbbd6a081908cb31bba20397f57 completed May 2, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11075850f881909bbb58f5e3ed1342 completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a1107f68c64819090fff48a1bf286df completed May 23, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_6a110834d2f881909a2c721b2b0ac4e8 completed May 23, 2026, 1:51 a.m.
Created at: April 21, 2026, 11:15 p.m.