Triple

T2736097
Position Surface form Disambiguated ID Type / Status
Subject Whitefield E60633 entity
Predicate hasLandmark P105 FINISHED
Object VR Bengaluru
VR Bengaluru is a prominent mixed-use lifestyle destination in Whitefield, Bengaluru, featuring a large shopping mall, entertainment venues, dining options, and office spaces.
 E293369 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: VR Bengaluru | Statement: [Whitefield, hasLandmark, VR Bengaluru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VR Bengaluru
Context triple: [Whitefield, hasLandmark, VR Bengaluru]
  • A. Bengaluru
    Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
  • B. Cyberabad
    Cyberabad is a popular moniker for the technology-driven, IT and software hub aspects of Hyderabad, India.
  • C. New Oyo
    New Oyo is a historic Yoruba city in southwestern Nigeria that served as the later political center of the Oyo Empire after the decline of Old Oyo.
  • D. Viewpark
    Viewpark is a residential area in North Lanarkshire, Scotland, known for its post-war housing estates and proximity to the town of Uddingston.
  • E. Vashi
    Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
  • 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: VR Bengaluru
Triple: [Whitefield, hasLandmark, VR Bengaluru]
Generated description
VR Bengaluru is a prominent mixed-use lifestyle destination in Whitefield, Bengaluru, featuring a large shopping mall, entertainment venues, dining options, and office spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VR Bengaluru
Target entity description: VR Bengaluru is a prominent mixed-use lifestyle destination in Whitefield, Bengaluru, featuring a large shopping mall, entertainment venues, dining options, and office spaces.
  • A. Bengaluru
    Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
  • B. Cyberabad
    Cyberabad is a popular moniker for the technology-driven, IT and software hub aspects of Hyderabad, India.
  • C. New Oyo
    New Oyo is a historic Yoruba city in southwestern Nigeria that served as the later political center of the Oyo Empire after the decline of Old Oyo.
  • D. Viewpark
    Viewpark is a residential area in North Lanarkshire, Scotland, known for its post-war housing estates and proximity to the town of Uddingston.
  • E. Vashi
    Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb11c66c81909058f2978aa5fae9 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a37fdc8190bcdb33d7352d9e16 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb734d7b08190aeb95e8a9199fb10 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c3fe7c8190bbbd6ce3157b1d56 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.