Triple
T10663297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landungsbrücken |
E251282
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Port of Hamburg |
E50057
|
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: Port of Hamburg | Statement: [Landungsbrücken, partOf, Port of Hamburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Hamburg Context triple: [Landungsbrücken, partOf, Port of Hamburg]
-
A.
Port of Hamburg
chosen
The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
-
B.
Port of Bremen
The Port of Bremen is a major German river port complex on the Weser that serves as an important hub for maritime trade, logistics, and industry in northern Europe.
-
C.
Port of Bremerhaven
The Port of Bremerhaven is one of Europe’s major seaports and a key hub for container shipping and automobile exports on Germany’s North Sea coast.
-
D.
Port of Wilhelmshaven
The Port of Wilhelmshaven is Germany’s only deep-water container port and a major North Sea harbor handling crude oil, containers, and naval operations.
-
E.
Port of Cuxhaven
The Port of Cuxhaven is a German seaport on the North Sea known as an important hub for offshore wind energy, RoRo traffic, and maritime logistics.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31db6288190857533213fa9f20d |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb07626988190a46d8a54eda156f5 |
completed | April 14, 2026, 9:24 p.m. |
Created at: April 8, 2026, 9:08 p.m.