Triple

T8615153
Position Surface form Disambiguated ID Type / Status
Subject Cherrapunji E204016 entity
Predicate alsoKnownAs P39 FINISHED
Object Sohra
Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
 E746705 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: Sohra | Statement: [Cherrapunji, alsoKnownAs, Sohra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sohra
Context triple: [Cherrapunji, alsoKnownAs, Sohra]
  • A. Sakesar
    Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
  • B. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • C. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • D. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • E. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • 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: Sohra
Triple: [Cherrapunji, alsoKnownAs, Sohra]
Generated description
Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sohra
Target entity description: Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
  • A. Sakesar
    Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
  • B. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • C. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • D. Vohra
    Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
  • E. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc47020748819090f658c115c1a7b9 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbc1d8a08190bbcf7c4cef0fe04d completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:25 p.m.