Triple

T9743773
Position Surface form Disambiguated ID Type / Status
Subject Taramani campus E236255 entity
Predicate locatedIn P40 FINISHED
Object Taramani
Taramani is a neighborhood in Chennai, India, known for its educational institutions, research centers, and growing IT and technology hubs.
 E817782 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: Taramani | Statement: [Taramani campus, locatedIn, Taramani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taramani
Context triple: [Taramani campus, locatedIn, Taramani]
  • A. Karenumati
    Karenumati is a lesser-known queen in the Indian epic Mahabharata, chiefly recognized as the wife of the Pandava prince Nakula and the mother of his son Niramitra.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Sundari
    Sundari is a seminal Punjabi novel by Bhai Vir Singh that helped shape modern Punjabi literature and popularized Sikh reformist and spiritual themes.
  • D. Dharapani
    Dharapani is a village in Nepal’s Annapurna region that serves as a key trekking junction and gateway between the Manaslu and Annapurna Circuit routes.
  • E. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • 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: Taramani
Triple: [Taramani campus, locatedIn, Taramani]
Generated description
Taramani is a neighborhood in Chennai, India, known for its educational institutions, research centers, and growing IT and technology hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taramani
Target entity description: Taramani is a neighborhood in Chennai, India, known for its educational institutions, research centers, and growing IT and technology hubs.
  • A. Karenumati
    Karenumati is a lesser-known queen in the Indian epic Mahabharata, chiefly recognized as the wife of the Pandava prince Nakula and the mother of his son Niramitra.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Sundari
    Sundari is a seminal Punjabi novel by Bhai Vir Singh that helped shape modern Punjabi literature and popularized Sikh reformist and spiritual themes.
  • D. Dharapani
    Dharapani is a village in Nepal’s Annapurna region that serves as a key trekking junction and gateway between the Manaslu and Annapurna Circuit routes.
  • E. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2e5bb081908047e3bf5fe3991c completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1affb761881908dde9a4f028c32f6 completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.