Triple

T14490217
Position Surface form Disambiguated ID Type / Status
Subject Shimla Hills E359340 entity
Predicate hasHillStation P24292 FINISHED
Object Fagu
Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
 E1103596 NE FINISHED

How this triple was built (4 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: Fagu | Statement: [Shimla Hills, hasHillStation, Fagu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fagu
Context triple: [Shimla Hills, hasHillStation, Fagu]
  • A. Fumusa
    Fumusa is an Italian-origin surname most notably associated with American actor Dominic Fumusa.
  • B. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • C. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • D. FUGA
    FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
  • E. Bunzo
    Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Fagu
Triple: [Shimla Hills, hasHillStation, Fagu]
Generated description
Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fagu
Target entity description: Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
  • A. Fumusa
    Fumusa is an Italian-origin surname most notably associated with American actor Dominic Fumusa.
  • B. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • C. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • D. FUGA
    FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
  • E. Bunzo
    Bunzo is the pet belonging to someone named Kumiko, likely a beloved animal companion in their household.
  • F. None of above. chosen

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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930d820481908b9813014dd02540 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9334708190baa2f8094df3c09e completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6f80e3a081908c43915275898852 completed May 8, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd7016a3c48190a1ea2fefeea92c60 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:20 a.m.