Triple

T18826740
Position Surface form Disambiguated ID Type / Status
Subject Nawalapitiya E460405 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Gampola 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: Gampola | Statement: [Nawalapitiya, hasNearbySettlement, Gampola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gampola
Context triple: [Nawalapitiya, hasNearbySettlement, Gampola]
  • A. Gampola chosen
    Gampola is a historic town in Sri Lanka known for its former status as a medieval capital and its scenic hill-country setting.
  • B. Dambulla
    Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
  • C. Pallamallawa
    Pallamallawa is a small rural village in northern New South Wales, Australia, known for its agricultural surroundings and close-knit community.
  • D. Kegalle
    Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
  • E. Balangoda
    Balangoda is a town in south-central Sri Lanka known for its archaeological significance and as a regional commercial center in the Sabaragamuwa Province.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bec7b08190b040ec8b3693f037 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.