Triple

T23299883
Position Surface form Disambiguated ID Type / Status
Subject The Island President E590272 entity
Predicate featuresLocation P7690 FINISHED
Object Maldives 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: Maldives | Statement: [The Island President, featuresLocation, Maldives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maldives
Context triple: [The Island President, featuresLocation, Maldives]
  • A. Maldives chosen
    The Maldives is a tropical island nation in the Indian Ocean renowned for its white-sand beaches, coral reefs, and luxury overwater resorts.
  • B. Dhivehi
    Dhivehi is an Indo-Aryan language spoken primarily in the Maldives, where it serves as the national language of the Maldivian people.
  • C. Seychelles
    Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
  • D. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • E. Cocos (Keeling) Islands
    Cocos (Keeling) Islands is a remote Australian external territory in the Indian Ocean, known for its small population, coral atolls, and strategic location between Australia and Sri Lanka.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d2b5dc819084b4d0290184de62 completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:04 p.m.