Triple

T7590061
Position Surface form Disambiguated ID Type / Status
Subject Textile City E179711 entity
Predicate alsoKnownAs P39 FINISHED
Object Manchester of South India E179709 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: Manchester of South India | Statement: [Textile City, alsoKnownAs, Manchester of South India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manchester of South India
Context triple: [Textile City, alsoKnownAs, Manchester of South India]
  • A. Manchester of South India chosen
    Manchester of South India is a popular nickname for Coimbatore, a major industrial and textile hub in the southern Indian state of Tamil Nadu.
  • B. Manchester of India
    Manchester of India is a popular nickname for Ludhiana, a major industrial city in Punjab renowned for its large-scale textile and hosiery industry.
  • C. 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.
  • D. Madras
    Madras is an unincorporated community located in Coweta County in the U.S. state of Georgia.
  • E. Velankanni
    Velankanni is a coastal town in Tamil Nadu, India, renowned as a major Christian pilgrimage center centered around the Basilica of Our Lady of Good Health.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b615f481908b2fe7e8aaed81bc completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8618d29c4819083e78266af8f2daa completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.