Triple

T19433209
Position Surface form Disambiguated ID Type / Status
Subject Sarama E486166 entity
Predicate residence P75 FINISHED
Object Lanka 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: Lanka | Statement: [Sarama, residence, Lanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanka
Context triple: [Sarama, residence, Lanka]
  • A. Lanka chosen
    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.
  • B. Sri Lanka
    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.
  • 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. Walpola, Sri Lanka
    Walpola, Sri Lanka is a village in Sri Lanka notable as the birthplace of the renowned Buddhist monk and scholar Walpola Rahula.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335dae10819096e1825741f814ed completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.