Triple
T12032434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Distribution Systems |
E286444
|
entity |
| Predicate | hasMajorExample |
P58835
|
FINISHED |
| Object | Apollo GDS |
E697626
|
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: Apollo GDS | Statement: [Global Distribution Systems, hasMajorExample, Apollo GDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apollo GDS Context triple: [Global Distribution Systems, hasMajorExample, Apollo GDS]
-
A.
OAG
OAG is the independent office responsible for auditing and overseeing the financial operations and performance of Florida’s state agencies and related entities.
-
B.
Travelport
chosen
Travelport is a global travel technology company that provides distribution, payment, and retailing solutions connecting travel agencies, airlines, hotels, and other travel suppliers.
-
C.
Sabre
Sabre is a leading global travel technology company that provides software and distribution solutions for airlines, hotels, and travel agencies.
-
D.
Gogo
Gogo is an in-flight internet service provider known for supplying Wi-Fi connectivity on commercial airlines.
-
E.
Nordwind Airlines
Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d6ec4b8819093ff50254a851444 |
completed | May 1, 2026, 12:32 p.m. |
Created at: April 8, 2026, 9:47 p.m.