Triple

T6367968
Position Surface form Disambiguated ID Type / Status
Subject Jalgaon district E143273 entity
Predicate hasTown P847 FINISHED
Object Chopda
Chopda is a town in the Jalgaon district of Maharashtra, India, known for its agricultural economy and regional trading activities.
 E589084 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: Chopda | Statement: [Jalgaon district, hasTown, Chopda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chopda
Context triple: [Jalgaon district, hasTown, Chopda]
  • A. Chopi
    Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
  • B. Chinnaru
    Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
  • C. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • D. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • E. Chowdur
    Chowdur is a historical Turkmen tribe known as one of the traditional tribal groupings that helped shape Turkmen ethnic and cultural identity in Central Asia.
  • 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: Chopda
Triple: [Jalgaon district, hasTown, Chopda]
Generated description
Chopda is a town in the Jalgaon district of Maharashtra, India, known for its agricultural economy and regional trading activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chopda
Target entity description: Chopda is a town in the Jalgaon district of Maharashtra, India, known for its agricultural economy and regional trading activities.
  • A. Chopi
    Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
  • B. Chinnaru
    Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
  • C. Chopok
    Chopok is a prominent mountain peak in central Slovakia’s Low Tatras range, popular for hiking, skiing, and panoramic alpine views.
  • D. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • E. Chowdur
    Chowdur is a historical Turkmen tribe known as one of the traditional tribal groupings that helped shape Turkmen ethnic and cultural identity in Central Asia.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068251ae48190af8201d5f9ad35b6 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8689408190b334928df870ed29 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c6312d8a2c8190ad916969b0331170 completed March 27, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69c63185bf28819096e518e23362a701 completed March 27, 2026, 7:28 a.m.
Created at: March 22, 2026, 4:32 p.m.