Triple
T11058571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANA Group |
E261443
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | ANA Cargo |
E774473
|
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: ANA Cargo | Statement: [ANA Group, brand, ANA Cargo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANA Cargo Context triple: [ANA Group, brand, ANA Cargo]
-
A.
ANA Cargo Inc.
chosen
ANA Cargo Inc. is the air freight and logistics arm of Japan’s All Nippon Airways group, providing international and domestic cargo transport services.
-
B.
Northern Air Cargo
Northern Air Cargo is an Alaska-based cargo airline specializing in freight services across Alaska and to destinations in the continental United States.
-
C.
Lufthansa Cargo
Lufthansa Cargo is the air freight and logistics division of the Lufthansa Group, operating a global network for transporting cargo by air.
-
D.
Singapore Airlines Cargo
Singapore Airlines Cargo is the dedicated air freight division of Singapore Airlines, operating a global network of cargo services using both freighter aircraft and bellyhold capacity on passenger flights.
-
E.
Etihad Cargo
Etihad Cargo is the freight and logistics division of Etihad Airways, providing global air cargo services across an international network.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2efa48190b290f43dfe836501 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441a5b5a481908a6fdf5f8e9bca8b |
completed | April 19, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:26 p.m.