Triple

T10736621
Position Surface form Disambiguated ID Type / Status
Subject Dakshina Kannada district E253210 entity
Predicate hasCity P316 FINISHED
Object Mangaluru E156874 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: Mangaluru | Statement: [Dakshina Kannada district, hasCity, Mangaluru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangaluru
Context triple: [Dakshina Kannada district, hasCity, Mangaluru]
  • A. Mangalore chosen
    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.
  • B. Madikeri
    Madikeri is a scenic hill town in Karnataka’s Coorg region, known for its cool climate, coffee plantations, and lush Western Ghats landscapes.
  • C. Mysuru
    Mysuru is a historic city in the southern Indian state of Karnataka, renowned for its royal heritage, palaces, and cultural festivals such as Dasara.
  • D. Karkala
    Karkala is a historic town in Karnataka, India, renowned for its towering monolithic statue of Bahubali and its significance as a major Digambara Jain pilgrimage center.
  • E. Hubli
    Hubli is a major commercial and transportation hub in the Indian state of Karnataka, known for its busy railway junction and growing industrial economy.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71022aee0819091a5790d3dee6777 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15478caa88190934fca5448f8a49e completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:14 p.m.