Triple

T9345702
Position Surface form Disambiguated ID Type / Status
Subject Sunethra Bandaranaike E224883 entity
Predicate familyName P18 FINISHED
Object Bandaranaike E782545 NE FINISHED

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: Bandaranaike | Statement: [Sunethra Bandaranaike, familyName, Bandaranaike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bandaranaike
Context triple: [Sunethra Bandaranaike, familyName, Bandaranaike]
  • A. Bandaranaike chosen
    Bandaranaike is a prominent Sri Lankan political family best known for producing multiple prime ministers, including the world's first female prime minister, Sirimavo Bandaranaike.
  • B. Bandarawela
    Bandarawela is a cool-climate hill town in Sri Lanka known for its tea plantations, scenic mountain landscapes, and colonial-era charm.
  • C. Ratmalana
    Ratmalana is a suburban area of Colombo in Sri Lanka, known for its residential neighborhoods and the historic Ratmalana Airport.
  • D. Kelaniya
    Kelaniya is a suburban town near Colombo in Sri Lanka, known for its historic Buddhist temple and cultural significance.
  • E. Kalutara
    Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0e2ccc8190a68f1c96c0886660 completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e41ccdcc8190b2939716984b2c7b completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:41 p.m.