Triple

T3341349
Position Surface form Disambiguated ID Type / Status
Subject Cyberabad E70266 entity
Predicate hasArea P175 FINISHED
Object Manikonda
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
 E349852 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: Manikonda | Statement: [Cyberabad, hasArea, Manikonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manikonda
Context triple: [Cyberabad, hasArea, Manikonda]
  • A. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Kanchimanadhi
    Kanchimanadhi is a minor river in Tamil Nadu, India, known primarily as a tributary contributing to the Noyyal River system.
  • C. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • D. Gajanana
    Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
  • E. Hogenakkal
    Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
  • 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: Manikonda
Triple: [Cyberabad, hasArea, Manikonda]
Generated description
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manikonda
Target entity description: Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
  • A. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Kanchimanadhi
    Kanchimanadhi is a minor river in Tamil Nadu, India, known primarily as a tributary contributing to the Noyyal River system.
  • C. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • D. Gajanana
    Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
  • E. Hogenakkal
    Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31c3aaba48190b203e344d71080f3 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da28a04819096e7ced5f123592a completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:12 p.m.