Triple

T1840712
Position Surface form Disambiguated ID Type / Status
Subject 2004 Indian Ocean earthquake and tsunami E41170 entity
Predicate regionAffected P1586 FINISHED
Object Seychelles E29088 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: Seychelles | Statement: [2004 Indian Ocean earthquake and tsunami, regionAffected, Seychelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seychelles
Context triple: [2004 Indian Ocean earthquake and tsunami, regionAffected, Seychelles]
  • A. Seychelles chosen
    Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
  • B. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • C. Comoros
    Comoros is an island nation in the Indian Ocean off the eastern coast of Africa, known for its diverse cultural heritage and history as a former French colony.
  • D. Madagascar
    Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
  • E. Maldives
    The Maldives is a tropical island nation in the Indian Ocean renowned for its white-sand beaches, coral reefs, and luxury overwater resorts.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb03c5e8081909578eaba8d82c264 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae17a808190b5574ca6baafdb71 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:33 p.m.