Triple

T8073273
Position Surface form Disambiguated ID Type / Status
Subject North Cachar Hills E188427 entity
Predicate containsSettlement P847 FINISHED
Object Langting
Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
E710315 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: Langting | Statement: [North Cachar Hills, containsSettlement, Langting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langting
Context triple: [North Cachar Hills, containsSettlement, Langting]
  • A. Longchang
    Longchang was a Chinese era name used during the Northern Qi dynasty to designate a specific reign period.
  • B. Hongxi
    Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
  • C. Mianning
    Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • D. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • E. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • 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: Langting
Triple: [North Cachar Hills, containsSettlement, Langting]
Generated description
Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Langting
Target entity description: Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
  • A. Longchang
    Longchang was a Chinese era name used during the Northern Qi dynasty to designate a specific reign period.
  • B. Hongxi
    Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
  • C. Mianning
    Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • D. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • E. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ecb04881909b1849dc4ef7c2bc completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651d340c819089306bac7110f57a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc666ecc04819092ee4cc035dde627 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 5:27 p.m.