Triple

T725265
Position Surface form Disambiguated ID Type / Status
Subject Dravidian languages E14711 entity
Predicate region P40 FINISHED
Object Maldives E29958 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: Maldives | Statement: [Dravidian languages, region, Maldives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maldives
Context triple: [Dravidian languages, region, 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. Seychelles
    Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
  • C. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • D. 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.
  • E. Kiribati
    Kiribati is a remote Pacific island nation made up of low-lying atolls and islands spread across a vast area of ocean, known for its vulnerability to climate change and sea-level rise.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.