Triple

T23494804
Position Surface form Disambiguated ID Type / Status
Subject Dematagoda E571674 entity
Predicate locatedNear P294 FINISHED
Object Maradana 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: Maradana | Statement: [Dematagoda, locatedNear, Maradana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maradana
Context triple: [Dematagoda, locatedNear, Maradana]
  • A. Maradana chosen
    Maradana is a densely populated, centrally located neighborhood in Colombo, Sri Lanka, known as a major transport and educational hub of the city.
  • B. Dutugemunu
    Dutugemunu was a legendary Sinhalese king of ancient Sri Lanka renowned for unifying much of the island and defeating the South Indian Chola ruler Elara.
  • C. Kaduwela
    Kaduwela is a rapidly developing suburban town in Sri Lanka’s Western Province, situated near Colombo and known for its growing residential and commercial significance.
  • D. Nagamangala
    Nagamangala is a town in the Indian state of Karnataka known for its temples and role as a local commercial and administrative center.
  • E. Yatawatta
    Yatawatta is a small town in Sri Lanka’s Central Province, known for its rural setting and agricultural surroundings within the Matale region.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7def8ac8190ade511299078d55b completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.