Triple
T11022290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free City of Lübeck |
E260518
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Lübeck |
E815801
|
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 Lübeck | Statement: [Free City of Lübeck, hasPort, Port of Lübeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Lübeck Context triple: [Free City of Lübeck, hasPort, Port of Lübeck]
-
A.
Lübeck seaport
chosen
Lübeck seaport is a major Baltic Sea harbor in northern Germany that serves as an important hub for maritime trade and ferry connections between Central Europe and Scandinavia.
-
B.
Port of Flensburg
The Port of Flensburg is a small commercial and ferry harbor on the Flensburg Fjord near the German-Danish border, serving regional maritime trade and tourism.
-
C.
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.
-
D.
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.
-
E.
Magdeburg Port
Magdeburg Port is a major inland harbor on the Elbe River in Magdeburg, Germany, serving as an important hub for regional and international freight transport and 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462a02ad4819092a2e0be89343a7e |
completed | April 19, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.