Triple

T15135374
Position Surface form Disambiguated ID Type / Status
Subject Internet in Nepal E361539 entity
Predicate geographicalChallenges P52634 FINISHED
Object Himalayan terrain LITERAL 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: Himalayan terrain | Statement: [Internet in Nepal, geographicalChallenges, Himalayan terrain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicalChallenges
Context triple: [Internet in Nepal, geographicalChallenges, Himalayan terrain]
  • A. geographicalNature chosen
    Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
  • B. geographicalEffect
    Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
  • C. geographicalAnomaly
    Indicates a relationship where a location exhibits unusual or irregular geographical features or conditions compared to its surrounding area.
  • D. geographicalPractice
    Indicates a relationship where an entity engages in or is associated with a practice, activity, or method that is specific to or characteristic of a particular geographic area or location.
  • E. geographicalExtreme
    Indicates that one place represents an extreme (such as the northernmost, highest, deepest, etc.) within a specified geographic or administrative area.
  • F. None of above.

Provenance (3 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b3f6f48190b1ed7c7b28feb7a6 completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.