Triple
T14672230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mærsk Mc-Kinney Møller |
E344541
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mærsk |
E344541
|
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: Mærsk | Statement: [Mærsk Mc-Kinney Møller, givenName, Mærsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mærsk Context triple: [Mærsk Mc-Kinney Møller, givenName, Mærsk]
-
A.
Mærsk Mc-Kinney Møller
chosen
Mærsk Mc-Kinney Møller was a prominent Danish shipping magnate and philanthropist, best known for leading the A.P. Moller–Maersk Group and funding major cultural projects in Denmark.
-
B.
Gulftainer
Gulftainer is a global port management and logistics company based in the United Arab Emirates, known for operating and developing container terminals and cargo facilities worldwide.
-
C.
Evergreen Marine
Evergreen Marine is a major Taiwanese container shipping company known for operating one of the world’s largest fleets of container vessels.
-
D.
Hapag-Lloyd Express
Hapag-Lloyd Express was a German low-cost airline that operated short-haul flights across Europe in the early 2000s before merging into TUIfly.
-
E.
Port Liner
Port Liner is an automated guideway transit system in Kobe, Japan, known as one of the world’s first driverless urban transit lines, linking central Kobe with Port Island.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17a39b88190b144b6cfcc61a4b8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.