Triple

T7019427
Position Surface form Disambiguated ID Type / Status
Subject Air Mauritius E162780 entity
Predicate callsign P1565 FINISHED
Object AIR MAURITIUS E162780 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: AIR MAURITIUS | Statement: [Air Mauritius, callsign, AIR MAURITIUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIR MAURITIUS
Context triple: [Air Mauritius, callsign, AIR MAURITIUS]
  • A. Air Mauritius chosen
    Air Mauritius is the flag carrier airline of Mauritius, operating regional and long-haul flights primarily from its hub at Sir Seewoosagur Ramgoolam International Airport.
  • B. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • C. French Mauritius
    French Mauritius was the period of French colonial rule over the island of Mauritius, during which it became an important strategic and trading hub in the Indian Ocean.
  • D. Ebène, Mauritius
    Ebène, Mauritius is a modern cybercity and major business hub located near the capital Port Louis on the island of Mauritius.
  • E. Seychelles
    Seychelles is an Indian Ocean island nation off the coast of East Africa, known for its tropical beaches, coral reefs, and unique biodiversity.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775707e30819088b311a1a87eee79 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:34 p.m.