Triple

T6970004
Position Surface form Disambiguated ID Type / Status
Subject Imperial Bank of India E161575 entity
Predicate hadBranchIn P73566 FINISHED
Object Madras E12324 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: Madras | Statement: [Imperial Bank of India, hadBranchIn, Madras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madras
Context triple: [Imperial Bank of India, hadBranchIn, Madras]
  • A. Madras
    Madras is a small city in central Oregon known as an agricultural hub and gateway to outdoor recreation in the surrounding high desert region.
  • B. Madras
    Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
  • C. Vellore
    Vellore is a historic city in southern India known for its fort, educational and medical institutions, and location along the Palar River in the state of Tamil Nadu.
  • D. Vellore
    Vellore is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban housing, schools, and community amenities.
  • E. Chennai chosen
    Chennai is a major coastal metropolis in southern India, serving as the capital of Tamil Nadu and a key cultural, economic, and automotive hub.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d144648190b7e6558246b013e3 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ebab88190916e3d68068ed71d completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.