Triple
T6155232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariehamn |
E137303
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Eastern Harbour of Mariehamn |
E572760
|
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: Eastern Harbour of Mariehamn | Statement: [Mariehamn, hasPort, Eastern Harbour of Mariehamn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eastern Harbour of Mariehamn Context triple: [Mariehamn, hasPort, Eastern Harbour of Mariehamn]
-
A.
Port of Mariehamn
chosen
The Port of Mariehamn is the main maritime gateway of Åland’s capital, serving as a key passenger and cargo hub in the Baltic Sea.
-
B.
Borgholm harbor
Borgholm harbor is a small coastal port and marina serving the town of Borgholm on the Swedish island of Öland, known for leisure boating and tourism.
-
C.
Lutakko harbour
Lutakko harbour is a lakeside port area in Jyväskylä, Finland, known for its marina, events, and recreational waterfront.
-
D.
Harstad harbour
Harstad harbour is a coastal port area in the town of Harstad in northern Norway, serving as a hub for local maritime traffic, fishing, and Hurtigruten coastal express ships.
-
E.
Nynäshamn harbour
Nynäshamn harbour is a major Swedish port on the Baltic Sea, serving passenger ferries, cruise ships, and cargo traffic south of Stockholm.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d6eefa88190ae55dab8b4ebe06d |
completed | March 24, 2026, 4:05 a.m. |
Created at: March 22, 2026, 4:17 p.m.