Triple

T22214696
Position Surface form Disambiguated ID Type / Status
Subject Kollonnawa Divisional Secretariat E549044 entity
Predicate administrativeCentre P1474 FINISHED
Object Kollonnawa 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: Kollonnawa | Statement: [Kollonnawa Divisional Secretariat, administrativeCentre, Kollonnawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kollonnawa
Context triple: [Kollonnawa Divisional Secretariat, administrativeCentre, Kollonnawa]
  • A. Kolonnawa chosen
    Kolonnawa is a suburb and urban area in Sri Lanka located within the Colombo metropolitan region.
  • B. Kollupitiya
    Kollupitiya is a prominent commercial and residential neighborhood in central Colombo, Sri Lanka, known for its shopping centers, offices, hotels, and coastal location.
  • C. Yatawatta
    Yatawatta is a small town in Sri Lanka’s Central Province, known for its rural setting and agricultural surroundings within the Matale region.
  • D. Maradana
    Maradana is a densely populated, centrally located neighborhood in Colombo, Sri Lanka, known as a major transport and educational hub of the city.
  • E. Rekawa
    Rekawa is a coastal village in southern Sri Lanka known for its sea turtle nesting beach and relatively unspoiled natural environment.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8b13f8819099ed8bebbfea3bc8 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.