Triple

T22398507
Position Surface form Disambiguated ID Type / Status
Subject Kelaniya E553697 entity
Predicate hasRailwayStation P918 FINISHED
Object Kelaniya railway station NE NERFINISHED

How this triple was built (3 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: Kelaniya railway station | Statement: [Kelaniya, hasRailwayStation, Kelaniya railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelaniya railway station
Context triple: [Kelaniya, hasRailwayStation, Kelaniya railway station]
  • A. Bandarawela railway station
    Bandarawela railway station is a key stop on Sri Lanka’s scenic Main Line, serving the hill-country town of Bandarawela and connecting it with major cities such as Colombo and Badulla.
  • B. Maradana railway station
    Maradana railway station is a major railway hub in Colombo, Sri Lanka, serving as one of the city’s primary junctions connecting multiple key lines across the country.
  • C. Kandy railway station
    Kandy railway station is a major rail hub in central Sri Lanka, serving the historic city of Kandy and connecting it to key destinations across the country.
  • D. Colombo Fort railway station
    Colombo Fort railway station is the main railway hub in Colombo, Sri Lanka, serving as a central junction for both suburban and long-distance train services across the country.
  • E. Galle railway station
    Galle railway station is a major coastal rail hub in southern Sri Lanka, serving the historic city of Galle and connecting it with key destinations including Colombo and Matara.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kelaniya railway station
Target entity description: Kelaniya railway station is a passenger rail station in Kelaniya, Sri Lanka, serving as part of the country’s main railway network near Colombo.
  • A. Bandarawela railway station
    Bandarawela railway station is a key stop on Sri Lanka’s scenic Main Line, serving the hill-country town of Bandarawela and connecting it with major cities such as Colombo and Badulla.
  • B. Maradana railway station
    Maradana railway station is a major railway hub in Colombo, Sri Lanka, serving as one of the city’s primary junctions connecting multiple key lines across the country.
  • C. Kandy railway station
    Kandy railway station is a major rail hub in central Sri Lanka, serving the historic city of Kandy and connecting it to key destinations across the country.
  • D. Colombo Fort railway station
    Colombo Fort railway station is the main railway hub in Colombo, Sri Lanka, serving as a central junction for both suburban and long-distance train services across the country.
  • E. Galle railway station
    Galle railway station is a major coastal rail hub in southern Sri Lanka, serving the historic city of Galle and connecting it with key destinations including Colombo and Matara.
  • F. None of above. chosen

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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15861ac248190a967f534feea0265 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:46 p.m.