Triple

T8773661
Position Surface form Disambiguated ID Type / Status
Subject God's Own Country E208523 entity
Predicate relatedTo P37 FINISHED
Object Wayanad E208519 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: Wayanad | Statement: [God's Own Country, relatedTo, Wayanad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayanad
Context triple: [God's Own Country, relatedTo, Wayanad]
  • A. Wayanad chosen
    Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
  • B. Malabar District
    Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
  • C. North Canara
    North Canara is a coastal district in the Indian state of Karnataka, known for its Arabian Sea shoreline, Western Ghats forests, and diverse cultural and linguistic heritage.
  • D. Kasargod district
    Kasargod district is a northern Kerala district in India known for its linguistic diversity, coastal landscapes, and cultural blend of Kerala and neighboring Karnataka.
  • E. Coorg
    Coorg, also known as Kodagu, is a scenic hill district in Karnataka, India, famed for its coffee plantations, lush forests, and mist-covered 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2ef3288190988bd69e8a02e741 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f2793688190a23ab55eba95e177 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:41 p.m.