Triple

T18935403
Position Surface form Disambiguated ID Type / Status
Subject Matale District E463230 entity
Predicate contains P35 FINISHED
Object Dambulla 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: Dambulla | Statement: [Matale District, contains, Dambulla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dambulla
Context triple: [Matale District, contains, Dambulla]
  • A. Dambulla chosen
    Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
  • B. Kegalle
    Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
  • C. Peradeniya
    Peradeniya is a town in central Sri Lanka renowned for its historic university and expansive Royal Botanical Gardens.
  • D. Badulla
    Badulla is a major town in Sri Lanka’s central highlands, known as the capital of Uva Province and a regional hub surrounded by tea plantations and scenic mountain landscapes.
  • E. Pallamallawa
    Pallamallawa is a small rural village in northern New South Wales, Australia, known for its agricultural surroundings and close-knit community.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e6a8208190973669cae439a91e completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.