Triple
T10797549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burchardkai container terminal |
E254749
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | HHLA |
E883954
|
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: HHLA | Statement: [Burchardkai container terminal, operator, HHLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HHLA Context triple: [Burchardkai container terminal, operator, HHLA]
-
A.
HHLA
chosen
HHLA is a major German logistics and port operating company best known for managing key container terminals in the Port of Hamburg.
-
B.
Hamburg Port Authority
The Hamburg Port Authority is the public institution responsible for managing, developing, and regulating the Port of Hamburg’s infrastructure and maritime operations.
-
C.
Hamburger Hafen und Logistik AG
Hamburger Hafen und Logistik AG is a major German port and logistics company that operates key container terminals in the Port of Hamburg and provides integrated transport and logistics services.
-
D.
HafenCity Hamburg GmbH
HafenCity Hamburg GmbH is the municipal development company responsible for planning and realizing Hamburg’s large-scale HafenCity urban waterfront redevelopment project.
-
E.
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.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73333dc4081909faa40c10bce2735 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566352608190ab15e3a4b690c9a5 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.