Triple

T3192023
Position Surface form Disambiguated ID Type / Status
Subject Shimla E66843 entity
Predicate hasNearbyHillStation P19493 FINISHED
Object Kufri E336190 NE FINISHED

How this triple was built (3 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: Kufri | Statement: [Shimla, hasNearbyHillStation, Kufri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kufri
Context triple: [Shimla, hasNearbyHillStation, Kufri]
  • A. Kufri chosen
    Kufri is a small hill station near Shimla in Himachal Pradesh, India, known for its scenic views, winter snowfall, and popular skiing and trekking opportunities.
  • B. Keter
    Keter is the highest and most transcendent sefirah in Kabbalistic mysticism, representing the divine crown, pure will, and the source of all emanations.
  • C. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • D. Argosy
    Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
  • E. Dosse
    The Dosse is a river in northeastern Germany that flows through Brandenburg and Saxony-Anhalt before joining the Havel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyHillStation
Context triple: [Shimla, hasNearbyHillStation, Kufri]
  • A. nearbyHillStation chosen
    Indicates that one location is a hill station situated close to another specified place.
  • B. hasMountainPassNearby
    Indicates that a mountain pass is located in close proximity to the referenced place or feature.
  • C. hasSkiResortNearby
    Indicates that one location is situated close enough to another location that it can be considered to have a ski resort in its vicinity.
  • D. hasNearbyHillRange
    Indicates that one entity is located close to or within the vicinity of a range of hills associated with the other entity.
  • E. hasNearbyTrailheadFor
    Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
  • F. None of above.

Provenance (4 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262126fa08190b7dd620159e3ed96 completed March 12, 2026, 6:49 a.m.
PD Predicate disambiguation batch_69ad9e04290481909092ddfbe6fdaabc completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.