Triple
T14435080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine waterway system |
E357937
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Cologne |
E957858
|
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 Cologne | Statement: [Rhine waterway system, hasPort, Port of Cologne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Cologne Context triple: [Rhine waterway system, hasPort, Port of Cologne]
-
A.
Port of Cologne
chosen
The Port of Cologne is a major inland port on the Rhine River that serves as a key logistics and transportation hub for trade and industry in western Germany.
-
B.
Port of Duisburg
The Port of Duisburg is the world’s largest inland port and a major European logistics hub located in Duisburg, Germany.
-
C.
Düsseldorf-Hafen
Düsseldorf-Hafen is a redeveloped harbor district in Düsseldorf known for its modern architecture, media and business centers, and vibrant nightlife along the Rhine.
-
D.
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.
-
E.
Port of Hamburg
The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9148cf4481909082cc91b2f76218 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a39d55c8190bbc7b76fab6b8b39 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 1:18 a.m.