Triple
T6894191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garuda Indonesia |
E159127
|
entity |
| Predicate | serviceClass |
P5621
|
FINISHED |
| Object | Business Class |
E299589
|
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: Business Class | Statement: [Garuda Indonesia, serviceClass, Business Class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Business Class Context triple: [Garuda Indonesia, serviceClass, Business Class]
-
A.
Business Class
chosen
Business Class is a premium airline cabin that provides enhanced comfort, service, and amenities compared to economy class.
-
B.
Business Premier
Business Premier is Air New Zealand’s flagship long-haul business class product, offering lie-flat seats, premium dining, and enhanced comfort and service for international travelers.
-
C.
Enterprise Business
Enterprise Business is Huawei's division focused on providing ICT infrastructure and digital transformation solutions to enterprise and government customers worldwide.
-
D.
Business Plus
Business Plus is a publishing imprint focused on business, management, and personal finance titles.
-
E.
Enterprise
Enterprise was NASA’s first Space Shuttle orbiter, built as a test vehicle to validate the shuttle’s design and flight characteristics without ever flying in space.
- 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_69c748db2bd48190bb26f60c58ec8229 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:24 p.m.