Triple

T22760062
Position Surface form Disambiguated ID Type / Status
Subject Dumka district E562960 entity
Predicate hasTown P847 FINISHED
Object Jarmundi
Jarmundi is a town in the Dumka district of Jharkhand, India, known primarily as a local administrative and market center for surrounding rural areas.
 E1553236 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: Jarmundi | Statement: [Dumka district, hasTown, Jarmundi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jarmundi
Context triple: [Dumka district, hasTown, Jarmundi]
  • A. Jumgal
    Jumgal is a small town in Kyrgyzstan’s mountainous Naryn Region, serving as a local center for the surrounding rural district.
  • B. Jarinu
    Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
  • C. Jarma
    Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
  • D. Tuhala
    Tuhala is a small village in northern Estonia known for its karst landscapes and the famous Tuhala Witch’s Well, which periodically overflows in a striking natural phenomenon.
  • E. Jhirnya
    Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
  • 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: Jarmundi
Triple: [Dumka district, hasTown, Jarmundi]
Generated description
Jarmundi is a town in the Dumka district of Jharkhand, India, known primarily as a local administrative and market center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jarmundi
Target entity description: Jarmundi is a town in the Dumka district of Jharkhand, India, known primarily as a local administrative and market center for surrounding rural areas.
  • A. Jumgal
    Jumgal is a small town in Kyrgyzstan’s mountainous Naryn Region, serving as a local center for the surrounding rural district.
  • B. Jarinu
    Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
  • C. Jarma
    Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
  • D. Tuhala
    Tuhala is a small village in northern Estonia known for its karst landscapes and the famous Tuhala Witch’s Well, which periodically overflows in a striking natural phenomenon.
  • E. Jhirnya
    Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9818fb508190813f80bdc4f47fe6 completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b991d92ec8190b7c680c56583b6de completed May 18, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0b99b6e7e88190995319351374f97c completed May 18, 2026, 10:59 p.m.
Created at: April 17, 2026, 3:26 p.m.