Triple
T18644888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.P. Møller – Mærsk |
E455778
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Maersk Logistics & Services |
—
|
NE NERFINISHED |
How this triple was built (3 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: Maersk Logistics & Services | Statement: [A.P. Møller – Mærsk, hasSubsidiary, Maersk Logistics & Services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maersk Logistics & Services Context triple: [A.P. Møller – Mærsk, hasSubsidiary, Maersk Logistics & Services]
-
A.
Hapag-Lloyd AG
Hapag-Lloyd AG is a major German international shipping and container transportation company known as one of the world’s leading liner shipping operators.
-
B.
Mitsubishi Logistics
Mitsubishi Logistics is a Japanese logistics and warehousing company within the Mitsubishi corporate group, providing transportation, storage, and supply chain services domestically and internationally.
-
C.
P&O Cold Logistics
P&O Cold Logistics was a specialized cold storage and temperature-controlled logistics company that handled refrigerated transport and warehousing of perishable goods.
-
D.
A.P. Møller – Mærsk
A.P. Møller – Mærsk is a Danish multinational conglomerate best known as one of the world’s largest container shipping and logistics companies.
-
E.
DP World
DP World is a Dubai-based global logistics and port operator that manages ports, economic zones, and supply chain services across numerous countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maersk Logistics & Services Target entity description: Maersk Logistics & Services is the integrated logistics and supply chain management arm of A.P. Møller – Mærsk, providing end-to-end transportation, warehousing, and value-added services for global trade.
-
A.
Hapag-Lloyd AG
Hapag-Lloyd AG is a major German international shipping and container transportation company known as one of the world’s leading liner shipping operators.
-
B.
Mitsubishi Logistics
Mitsubishi Logistics is a Japanese logistics and warehousing company within the Mitsubishi corporate group, providing transportation, storage, and supply chain services domestically and internationally.
-
C.
P&O Cold Logistics
P&O Cold Logistics was a specialized cold storage and temperature-controlled logistics company that handled refrigerated transport and warehousing of perishable goods.
-
D.
A.P. Møller – Mærsk
chosen
A.P. Møller – Mærsk is a Danish multinational conglomerate best known as one of the world’s largest container shipping and logistics companies.
-
E.
DP World
DP World is a Dubai-based global logistics and port operator that manages ports, economic zones, and supply chain services across numerous countries.
- F. None of above.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500c36188190bfdd7aca73f3c006 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.