Triple

T22704333
Position Surface form Disambiguated ID Type / Status
Subject South Canara E561407 entity
Predicate contains P35 FINISHED
Object Kasaragod NE NERFINISHED

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: Kasaragod | Statement: [South Canara, contains, Kasaragod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasaragod
Context triple: [South Canara, contains, Kasaragod]
  • A. Kannur district
    Kannur district is a coastal district in the northern part of Kerala, India, known for its historic trade links, Theyyam ritual art, and scenic beaches.
  • B. Kasargod district chosen
    Kasargod district is a northern Kerala district in India known for its linguistic diversity, coastal landscapes, and cultural blend of Kerala and neighboring Karnataka.
  • C. Kannur
    Kannur is a historic coastal city in the Indian state of Kerala, known for its role in maritime trade, colonial-era forts, and rich Theyyam ritual art traditions.
  • D. Malabar District
    Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
  • E. Kollam district
    Kollam district is a coastal administrative region in the southern Indian state of Kerala, known for its historic port city of Kollam, cashew processing industry, and extensive backwaters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cca1e48190bbe7910f13692803 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.