Triple
T561550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine |
E13461
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object | Port of Rotterdam |
E18419
|
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 Rotterdam | Statement: [Rhine, majorPort, Port of Rotterdam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Rotterdam Context triple: [Rhine, majorPort, Port of Rotterdam]
-
A.
Port of Antwerp
The Port of Antwerp is one of Europe’s largest and busiest seaports, serving as a key international hub for maritime trade, logistics, and industry in Belgium.
-
B.
Port of Amsterdam
The Port of Amsterdam is one of Europe’s largest seaports and a major hub for maritime trade, logistics, and industry in the Netherlands.
-
C.
Port of Vlissingen
The Port of Vlissingen is a significant Dutch seaport on the North Sea coast, serving as an important hub for maritime trade, logistics, and industry in the southwestern Netherlands.
-
D.
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.”
-
E.
Rotterdam
chosen
Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499e2795c8190903240e79964156d |
completed | March 1, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9bd6c44819094ba815966ca7937 |
completed | March 2, 2026, 1:37 a.m. |
Created at: March 1, 2026, 7:32 p.m.