Triple

T26554286
Position Surface form Disambiguated ID Type / Status
Subject Tehrathum District E671759 entity
Predicate hasAttraction P105 FINISHED
Object Tinjure–Milke–Jaljale area
The Tinjure–Milke–Jaljale area is a scenic highland ridge in eastern Nepal renowned for its extensive rhododendron forests, panoramic Himalayan views, and rich biodiversity.
 E1733389 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: Tinjure–Milke–Jaljale area | Statement: [Tehrathum District, hasAttraction, Tinjure–Milke–Jaljale area]
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: Tinjure–Milke–Jaljale area
Triple: [Tehrathum District, hasAttraction, Tinjure–Milke–Jaljale area]
Generated description
The Tinjure–Milke–Jaljale area is a scenic highland ridge in eastern Nepal renowned for its extensive rhododendron forests, panoramic Himalayan views, and rich biodiversity.

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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6146527d481908aae1bf455f32714 completed May 2, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c81e26288190b027a84873d72943 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11e5247fe88190bcd9a7afe016f3a2 completed May 23, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11e5f0744c8190904d781ba9d7e28c completed May 23, 2026, 5:37 p.m.
Created at: April 27, 2026, 1:49 a.m.