Triple

T6202130
Position Surface form Disambiguated ID Type / Status
Subject Fokker F28 E138657 entity
Predicate notableOperator P179 FINISHED
Object Garuda Indonesia E30719 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: Garuda Indonesia | Statement: [Fokker F28, notableOperator, Garuda Indonesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garuda Indonesia
Context triple: [Fokker F28, notableOperator, Garuda Indonesia]
  • A. Garuda Indonesia chosen
    Garuda Indonesia is the national flag carrier airline of Indonesia, operating domestic and international flights across Asia, Australia, the Middle East, and Europe.
  • B. Lion Air
    Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
  • C. Merpati Nusantara Airlines
    Merpati Nusantara Airlines was an Indonesian state-owned airline that operated domestic and regional flights across the archipelago before ceasing operations.
  • D. Mandala Airlines
    Mandala Airlines was an Indonesian airline that operated domestic and regional flights before ceasing operations in the early 2010s.
  • E. Gili Air
    Gili Air is a small Indonesian island near Lombok known for its laid-back atmosphere, coral reefs, and popular snorkeling and diving spots.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626a32908190a3332008aee2e4a9 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f3bad2c8190b0ad0f2def3af9f7 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.