Triple

T19800850
Position Surface form Disambiguated ID Type / Status
Subject Dunhinda Falls E475669 entity
Predicate accessFrom P1985 FINISHED
Object Badulla town 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: Badulla town | Statement: [Dunhinda Falls, accessFrom, Badulla town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badulla town
Context triple: [Dunhinda Falls, accessFrom, Badulla town]
  • A. Badulla chosen
    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.
  • B. Peradeniya
    Peradeniya is a town in central Sri Lanka renowned for its historic university and expansive Royal Botanical Gardens.
  • C. Dambulla
    Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
  • D. Dematagoda
    Dematagoda is a residential and commercial suburb within the city of Colombo, Sri Lanka.
  • E. Maharagama
    Maharagama is a suburban city in the Colombo District of Sri Lanka, known as a densely populated residential and commercial hub within the Colombo metropolitan area.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cc995c81908e4ca85b0639d541 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.