Triple

T9743604
Position Surface form Disambiguated ID Type / Status
Subject Triplicane E236250 entity
Predicate adjacentTo P224 FINISHED
Object Chepauk E236251 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: Chepauk | Statement: [Triplicane, adjacentTo, Chepauk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chepauk
Context triple: [Triplicane, adjacentTo, Chepauk]
  • A. Chepauk chosen
    Chepauk is a coastal neighborhood in central Chennai, India, known for the historic M. A. Chidambaram cricket stadium and its proximity to Marina Beach.
  • 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. Tambaram
    Tambaram is a suburban area of Chennai in Tamil Nadu, India, known as an important residential, educational, and transport hub.
  • D. Vandalur
    Vandalur is a suburban area on the outskirts of Chennai, India, best known for housing the large Arignar Anna Zoological Park.
  • E. Ulsoor
    Ulsoor is a historic neighborhood in central Bengaluru, India, known for its large lake, temples, and dense residential and commercial areas.
  • 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_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.
Created at: March 30, 2026, 8:23 p.m.