Triple

T20567521
Position Surface form Disambiguated ID Type / Status
Subject Ullambana Festival E505001 entity
Predicate observedIn P40 FINISHED
Object Sri 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: Sri Lanka | Statement: [Ullambana Festival, observedIn, Sri Lanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Lanka
Context triple: [Ullambana Festival, observedIn, Sri Lanka]
  • 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. Polonnaruwa, Sri Lanka
    Polonnaruwa, Sri Lanka is an ancient UNESCO-listed city renowned for its well-preserved medieval ruins, temples, and abundant wildlife, including the monkeys featured in the film "Monkey Kingdom."
  • E. Mattumagala, Sri Lanka
    Mattumagala, Sri Lanka is a locality best known as the birthplace of renowned Sri Lankan fast bowler Chaminda Vaas.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a33f7c8190966da03528dfe8aa completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.