Triple

T26997858
Position Surface form Disambiguated ID Type / Status
Subject Mugling–Narayanghat Road E680023 entity
Predicate connects P390 FINISHED
Object Mugling junction
Mugling junction is a key transportation crossroads in central Nepal where major highways converge, serving as an important link between Kathmandu, Pokhara, and the southern plains.
 E1767995 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: Mugling junction | Statement: [Mugling–Narayanghat Road, connects, Mugling junction]
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: Mugling junction
Triple: [Mugling–Narayanghat Road, connects, Mugling junction]
Generated description
Mugling junction is a key transportation crossroads in central Nepal where major highways converge, serving as an important link between Kathmandu, Pokhara, and the southern plains.

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_69eeeb52908c8190bd246244686aa455 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62196241c8190a52462f0f93b3998 completed May 2, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c8939248190b85232e193d3005e completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129e56c1588190b62c831e4b5eb0b8 completed May 24, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_6a129f8b990881909f3583d524cbe8bb completed May 24, 2026, 6:49 a.m.
Created at: April 27, 2026, 6:55 a.m.