Triple

T4993681
Position Surface form Disambiguated ID Type / Status
Subject Udupi Krishna Matha E112192 entity
Predicate locatedIn P40 FINISHED
Object Udupi E253209 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: Udupi | Statement: [Udupi Krishna Matha, locatedIn, Udupi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udupi
Context triple: [Udupi Krishna Matha, locatedIn, Udupi]
  • A. Tharangambadi
    Tharangambadi is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement, seaside fort, and blend of Indian and European heritage.
  • B. Udupi district chosen
    Udupi district is a coastal district in the Indian state of Karnataka, known for its temple town of Udupi, distinctive cuisine, and rich Tulu-Kannada cultural heritage.
  • C. Dvaraka
    Dvaraka is an ancient and sacred coastal city in western India, revered in Hindu tradition as the legendary kingdom of Lord Krishna.
  • D. Mangalore
    Mangalore is a major port city on the southwestern coast of India, known for its maritime trade, diverse culture, and role as a commercial hub of Karnataka.
  • E. Madikeri
    Madikeri is a scenic hill town in Karnataka’s Coorg region, known for its cool climate, coffee plantations, and lush Western Ghats landscapes.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729d3d448190a414a003a75104f6 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a30bb988190939e1ca5226e1dd4 completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.