Triple

T3341350
Position Surface form Disambiguated ID Type / Status
Subject Cyberabad E70266 entity
Predicate hasArea P175 FINISHED
Object Raidurg
Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
 E350660 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: Raidurg | Statement: [Cyberabad, hasArea, Raidurg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raidurg
Context triple: [Cyberabad, hasArea, Raidurg]
  • A. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Rhodogune
    Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
  • 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: Raidurg
Triple: [Cyberabad, hasArea, Raidurg]
Generated description
Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raidurg
Target entity description: Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
  • A. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Rhodogune
    Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
  • 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_69b325191a38819095cdccca8f013774 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b3264fee388190a693ecf748074f04 completed March 12, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b326af5e1481908930410ce9be1339 completed March 12, 2026, 8:48 p.m.
Created at: March 8, 2026, 3:12 p.m.