Triple
T34435974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HHLA |
E883954
|
entity |
| Predicate | operatesContainerTerminalIn |
P86510
|
FINISHED |
| Object | Port of Hamburg |
—
|
NE NERFINISHED |
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: Port of Hamburg | Statement: [HHLA, operatesContainerTerminalIn, Port of Hamburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesContainerTerminalIn Context triple: [HHLA, operatesContainerTerminalIn, Port of Hamburg]
-
A.
hasContainerTerminalOperator
Indicates that an entity is operated or managed by a specific container terminal operator.
-
B.
hasContainerTerminal
Indicates that one entity possesses, includes, or is associated with a container terminal as part of its facilities or infrastructure.
-
C.
operatedDock
Indicates that an entity managed or controlled the functioning of a dock or docking facility.
-
D.
seaTerminal
Indicates a relationship where a location functions as a maritime terminal for sea-based transport or shipping operations.
-
E.
operatesTerminalsIn
chosen
Indicates that an entity manages or runs the operations of one or more terminals at a given location or facility.
- F. None of above.
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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00b2b425a8819091ff65695e98c3af |
completed | May 10, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a00b06efa248190b2d16b4889185119 |
completed | May 10, 2026, 4:21 p.m. |
Created at: May 1, 2026, 2 a.m.