Triple
T13802673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hapag-Lloyd Flug |
E331678
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Hapag-Lloyd AG |
E1063097
|
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: Hapag-Lloyd AG | Statement: [Hapag-Lloyd Flug, namedAfter, Hapag-Lloyd AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hapag-Lloyd AG Context triple: [Hapag-Lloyd Flug, namedAfter, Hapag-Lloyd AG]
-
A.
Hapag-Lloyd AG
chosen
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.
Orient Overseas Container Line
Orient Overseas Container Line is a major Hong Kong-based international container shipping and logistics company.
-
C.
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.
-
D.
S7 Cargo
S7 Cargo is the air freight and logistics division of Russia’s S7 Group, providing cargo transportation services on the airline’s route network.
-
E.
K Line
K Line is a light rail route in the Los Angeles Metro Rail system serving neighborhoods in South Los Angeles and connecting to key transit hubs.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e5251c81909f3f40dcdea1772f |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 10:12 p.m.