Triple
T574356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeeland |
E13728
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Vlissingen port |
E24622
|
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: Vlissingen port | Statement: [Zeeland, hasPort, Vlissingen port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlissingen port Context triple: [Zeeland, hasPort, Vlissingen port]
-
A.
Port of Vlissingen
chosen
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.
-
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 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.
-
D.
Port of Rotterdam
The Port of Rotterdam is Europe’s largest and one of the world’s busiest seaports, serving as a major global hub for maritime trade, logistics, and industry in the Netherlands.
-
E.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4c23548190a3b883239c7c78c8 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927a25b081909b553fe3a486e84a |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:33 p.m.