Triple

T6894179
Position Surface form Disambiguated ID Type / Status
Subject Garuda Indonesia E159127 entity
Predicate renamedTo P3432 FINISHED
Object Garuda Indonesian Airways 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 Indonesian Airways | Statement: [Garuda Indonesia, renamedTo, Garuda Indonesian Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garuda Indonesian Airways
Context triple: [Garuda Indonesia, renamedTo, Garuda Indonesian Airways]
  • 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. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d931da24819096b9b205f2c0ebb0 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7584189008190b908f530a4525885 completed March 28, 2026, 4:25 a.m.
Created at: March 27, 2026, 2:24 p.m.