Triple
T13914863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HNA Group |
E334594
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Swissport
Swissport is a leading global provider of ground and cargo handling services for the aviation industry, operating at hundreds of airports worldwide.
|
E1069070
|
NE FINISHED |
How this triple was built (4 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: Swissport | Statement: [HNA Group, owns, Swissport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swissport Context triple: [HNA Group, owns, Swissport]
-
A.
Aviall
Aviall is an aviation parts and services company that operates as a subsidiary of Boeing, supplying aftermarket aircraft components and logistics support to the aerospace industry.
-
B.
DHL Aviation
DHL Aviation is the air cargo division of DHL, operating a global network of freight flights that connect major logistics hubs worldwide.
-
C.
Swissair
Swissair was the former national airline of Switzerland, renowned for its high service standards and extensive international route network until its collapse in 2001.
-
D.
Lufthansa Cargo
Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
-
E.
West Air
West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Swissport Triple: [HNA Group, owns, Swissport]
Generated description
Swissport is a leading global provider of ground and cargo handling services for the aviation industry, operating at hundreds of airports worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swissport Target entity description: Swissport is a leading global provider of ground and cargo handling services for the aviation industry, operating at hundreds of airports worldwide.
-
A.
Aviall
Aviall is an aviation parts and services company that operates as a subsidiary of Boeing, supplying aftermarket aircraft components and logistics support to the aerospace industry.
-
B.
DHL Aviation
DHL Aviation is the air cargo division of DHL, operating a global network of freight flights that connect major logistics hubs worldwide.
-
C.
Swissair
Swissair was the former national airline of Switzerland, renowned for its high service standards and extensive international route network until its collapse in 2001.
-
D.
Lufthansa Cargo
Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
-
E.
West Air
West Air is a Chinese low-cost airline based in Chongqing that operates domestic and regional passenger services.
- F. None of above. chosen
Provenance (5 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72a345481908f8552bca7bb1a5a |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c8d477f881908f8cfd2783e7f10f |
completed | May 3, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ca27ffd4819080bccd6bfd88ddb3 |
completed | May 3, 2026, 10:20 p.m. |
Created at: April 9, 2026, 10:16 p.m.