Triple

T13479898
Position Surface form Disambiguated ID Type / Status
Subject Kannasamy Nayaka E318344 entity
Predicate deathPlace P21 FINISHED
Object Vellore E219819 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: Vellore | Statement: [Kannasamy Nayaka, deathPlace, Vellore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vellore
Context triple: [Kannasamy Nayaka, deathPlace, Vellore]
  • A. Vellore chosen
    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.
  • B. Vellore
    Vellore is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban housing, schools, and community amenities.
  • C. Tiruchirappalli
    Tiruchirappalli is a major city in the Indian state of Tamil Nadu, known for its historic temples, educational institutions, and strategic location along the Kaveri River.
  • D. 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.
  • E. Madras
    Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c49e9c819088e6e98aa53d05fa completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:42 p.m.