Triple
T1383907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bothnian Bay |
E29799
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Kemi |
E22392
|
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: Kemi | Statement: [Bothnian Bay, hasPort, Kemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemi Context triple: [Bothnian Bay, hasPort, Kemi]
-
A.
Kemi
chosen
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
-
B.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
C.
Kemijoki
Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
-
D.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
E.
Kholmsk
Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3377b608190b915e6871c1fe86e |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56940408190aeba5a342ae3ab17 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:59 p.m.