Triple

T8265361
Position Surface form Disambiguated ID Type / Status
Subject Velana International Airport E193288 entity
Predicate locatedIn 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: [Velana International Airport, locatedIn, Maldives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maldives
Context triple: [Velana International Airport, locatedIn, 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 (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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794c54448190a685b8d0070980d7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9505ecb08190bfe4025c858d7ef9 completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:50 p.m.