Triple
T1573789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofotfjord |
E33601
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Narvik |
E33599
|
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 Narvik | Statement: [Ofotfjord, hasPort, Port of Narvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Narvik Context triple: [Ofotfjord, hasPort, Port of Narvik]
-
A.
Port of Halden
Port of Halden is a Norwegian maritime port serving the town of Halden near the Swedish border, handling regional cargo and ferry traffic along the Oslofjord–Skagerrak corridor.
-
B.
Port of Longyearbyen
The Port of Longyearbyen is the main maritime gateway and logistics hub of the Svalbard archipelago, serving cruise ships, research vessels, and cargo traffic in the High Arctic.
-
C.
Port of Oslo
The Port of Oslo is Norway’s largest and busiest seaport, serving as a key hub for passenger ferries, cargo traffic, and maritime trade in the Oslofjord region.
-
D.
Nynäshamn harbour
Nynäshamn harbour is a major Swedish port on the Baltic Sea, serving passenger ferries, cruise ships, and cargo traffic south of Stockholm.
-
E.
Narvik
chosen
Narvik is a port town in northern Norway known for its strategic importance during World War II and as the site of major naval and land battles.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908bcd87881908b911314a30dd327 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4028bc5881909dbe847229dd63bb |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.