Triple
T15107137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APM Terminals |
E360816
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Maersk |
E455778
|
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: Maersk | Statement: [APM Terminals, parentCompany, Maersk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maersk Context triple: [APM Terminals, parentCompany, Maersk]
-
A.
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.
-
B.
Mediterranean Shipping Company
Mediterranean Shipping Company is one of the world’s largest container shipping lines, operating a vast global fleet and network of maritime trade routes.
-
C.
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.
-
D.
Murmansk Shipping Company
Murmansk Shipping Company is a Russian maritime transport enterprise historically known for operating nuclear-powered icebreakers and supporting Arctic shipping routes.
-
E.
DFDS Seaways
DFDS Seaways is a Danish international shipping and logistics company best known for operating passenger and freight ferry services across Northern Europe.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe2369881908c7ebbad412d9000 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:05 a.m.