Triple

T14008809
Position Surface form Disambiguated ID Type / Status
Subject Ranasinghe Premadasa E337021 entity
Predicate nationality P2 FINISHED
Object Sri Lankan E23066 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: Sri Lankan | Statement: [Ranasinghe Premadasa, nationality, Sri Lankan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Lankan
Context triple: [Ranasinghe Premadasa, nationality, Sri Lankan]
  • A. Sri Lanka chosen
    Sri Lanka is an island nation in the Indian Ocean known for its rich cultural heritage, diverse landscapes, and strategic location off the southern coast of India.
  • B. Lanka
    Lanka is the island kingdom in the Ramayana epic ruled by the demon king Ravana, where Sita is held captive and Rama wages war to rescue her.
  • C. Wat Lanka
    Wat Lanka is one of Phnom Penh’s oldest and most significant Buddhist temples, known for its traditional Khmer architecture and religious importance.
  • D. Mattumagala, Sri Lanka
    Mattumagala, Sri Lanka is a locality best known as the birthplace of renowned Sri Lankan fast bowler Chaminda Vaas.
  • E. SRILANKAN
    SRILANKAN is the radio callsign used by SriLankan Airlines, the flag carrier of Sri Lanka.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7d691008190a38729d18de2bb91 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:19 p.m.