Triple

T731448
Position Surface form Disambiguated ID Type / Status
Subject Pune E14838 entity
Predicate hasITCluster P15476 FINISHED
Object Magarpatta
Magarpatta is a planned integrated township in Pune, India, known for its large IT park, residential complexes, and commercial infrastructure.
 E89879 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: Magarpatta | Statement: [Pune, hasITCluster, Magarpatta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magarpatta
Context triple: [Pune, hasITCluster, Magarpatta]
  • A. Udaipur
    Udaipur is a historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
  • B. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • C. Nashik
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • D. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • E. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • 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: Magarpatta
Triple: [Pune, hasITCluster, Magarpatta]
Generated description
Magarpatta is a planned integrated township in Pune, India, known for its large IT park, residential complexes, and commercial infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magarpatta
Target entity description: Magarpatta is a planned integrated township in Pune, India, known for its large IT park, residential complexes, and commercial infrastructure.
  • A. Udaipur
    Udaipur is a historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
  • B. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • C. Nashik
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • D. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • E. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c40b6481909db9efd7310850b3 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e3c22f08190b71734d9605a92f6 completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65f0b2aa881909241216280abc51d completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65faac11c8190bb2e015fc829e8da completed March 3, 2026, 4:12 a.m.
Created at: March 1, 2026, 7:37 p.m.