Triple

T7491203
Position Surface form Disambiguated ID Type / Status
Subject Yuksom E177007 entity
Predicate roadAccessFrom P22549 FINISHED
Object Jorethang
Jorethang is a small town in the South Sikkim district of India, serving as an important local commercial and transport hub along the Rangeet River.
 E674327 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: Jorethang | Statement: [Yuksom, roadAccessFrom, Jorethang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jorethang
Context triple: [Yuksom, roadAccessFrom, Jorethang]
  • A. Tsangla
    Tsangla is a Tibeto-Burman language primarily spoken in eastern Bhutan and neighboring regions by the Sharchop people.
  • B. Hrangkhol
    Hrangkhol are an indigenous tribal community of Northeast India, known for their distinct language, culture, and traditional practices.
  • C. Gyalshing
    Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
  • D. Jingpho
    Jingpho is a Tibeto-Burman language spoken primarily by the Jingpo people in parts of Myanmar, China, and India.
  • E. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • 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: Jorethang
Triple: [Yuksom, roadAccessFrom, Jorethang]
Generated description
Jorethang is a small town in the South Sikkim district of India, serving as an important local commercial and transport hub along the Rangeet River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jorethang
Target entity description: Jorethang is a small town in the South Sikkim district of India, serving as an important local commercial and transport hub along the Rangeet River.
  • A. Tsangla
    Tsangla is a Tibeto-Burman language primarily spoken in eastern Bhutan and neighboring regions by the Sharchop people.
  • B. Hrangkhol
    Hrangkhol are an indigenous tribal community of Northeast India, known for their distinct language, culture, and traditional practices.
  • C. Gyalshing
    Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
  • D. Jingpho
    Jingpho is a Tibeto-Burman language spoken primarily by the Jingpo people in parts of Myanmar, China, and India.
  • E. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5767d3481909a9a0e099cc02d03 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8613eaf0c8190b33cb22dd83ee59c completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c861c305c08190a09589d840aba410 completed March 28, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69c8627e9a6c8190baf4e8bb113845f1 completed March 28, 2026, 11:21 p.m.
Created at: March 27, 2026, 3:43 p.m.