Triple

T13981767
Position Surface form Disambiguated ID Type / Status
Subject Kabini E336327 entity
Predicate hasSourceIn P3654 FINISHED
Object Wayanad district 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 district | Statement: [Kabini, hasSourceIn, Wayanad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayanad district
Context triple: [Kabini, hasSourceIn, Wayanad district]
  • A. Wayanad chosen
    Wayanad is a scenic hill district in Kerala, India, known for its lush forests, wildlife sanctuaries, waterfalls, and spice plantations.
  • B. 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.
  • C. Udupi district
    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.
  • D. Malabar District
    Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
  • E. Chikkamagaluru district
    Chikkamagaluru district is a hilly region in the Indian state of Karnataka, renowned for its coffee plantations and scenic 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.