Triple

T27470282
Position Surface form Disambiguated ID Type / Status
Subject Jugal Himal E693296 entity
Predicate partOf P40 FINISHED
Object Langtang–Jugal Himal region
The Langtang–Jugal Himal region is a Himalayan mountain area in central Nepal known for its high peaks, glaciers, and popular trekking routes near the Tibetan border.
 E1778295 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: Langtang–Jugal Himal region | Statement: [Jugal Himal, partOf, Langtang–Jugal Himal region]
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: Langtang–Jugal Himal region
Triple: [Jugal Himal, partOf, Langtang–Jugal Himal region]
Generated description
The Langtang–Jugal Himal region is a Himalayan mountain area in central Nepal known for its high peaks, glaciers, and popular trekking routes near the Tibetan border.

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_69ef538105548190a771cc5a0cf8c211 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62e00d1148190bb61a0e1c090a3ff completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c59dad8881909f6ff2311643f80d completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6b232108190a185cccf8206578f completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c74f073c8190b84c1e5acc666bf3 completed May 24, 2026, 9:39 a.m.
Created at: April 27, 2026, 12:53 p.m.