Triple

T17442959
Position Surface form Disambiguated ID Type / Status
Subject Katunayake E424703 entity
Predicate partOf P40 FINISHED
Object Colombo metropolitan area 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: Colombo metropolitan area | Statement: [Katunayake, partOf, Colombo metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombo metropolitan area
Context triple: [Katunayake, partOf, Colombo metropolitan area]
  • A. Colombo Metropolitan Region chosen
    The Colombo Metropolitan Region is Sri Lanka’s largest urban agglomeration and economic hub, centered on the capital city of Colombo and its surrounding suburbs.
  • B. Colombo
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • C. Colombo District
    Colombo District is a key administrative region in western Sri Lanka that encompasses the nation’s commercial capital and surrounding urban and suburban areas.
  • D. Sri Jayawardenepura Kotte
    Sri Jayawardenepura Kotte is the administrative capital of Sri Lanka, located near Colombo and serving as the seat of the national legislature.
  • E. City of Negombo
    The City of Negombo is a major coastal urban center in western Sri Lanka, known for its fishing industry, sandy beaches, and proximity to the country’s main international airport.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff927ec8190995798f569e913ba completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.