Triple

T14082306
Position Surface form Disambiguated ID Type / Status
Subject Saidapet E338896 entity
Predicate nearbyArea P2064 FINISHED
Object T. Nagar E740572 NE FINISHED

How this triple was built (2 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: T. Nagar | Statement: [Saidapet, nearbyArea, T. Nagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T. Nagar
Context triple: [Saidapet, nearbyArea, T. Nagar]
  • A. T. Nagar chosen
    T. Nagar is a major commercial and residential neighborhood in Chennai, India, best known as one of the city’s busiest shopping districts for textiles and jewelry.
  • B. Vadapalani
    Vadapalani is a bustling residential and commercial neighborhood in Chennai, India, known for its famous Murugan Temple and proximity to major film and television studios.
  • C. Mylapore
    Mylapore is a historic neighborhood in Chennai, India, known for its ancient temples, cultural heritage, and traditional South Indian character.
  • D. Saidapet
    Saidapet is a prominent residential and commercial neighborhood in Chennai, India, known for its busy transport hub and proximity to key administrative and educational institutions.
  • E. Chepauk neighborhood
    Chepauk neighborhood is a coastal locality in central Chennai, India, known for landmarks like the M.A. Chidambaram cricket stadium and its proximity to major educational and governmental institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefe88b481908b3dca1f019e7809 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:21 p.m.