Triple
T1299706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Mayen |
E27733
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Olonkinbyen
Olonkinbyen is the small Norwegian research and military station that serves as the only inhabited settlement on the remote Arctic island of Jan Mayen.
|
E150699
|
NE FINISHED |
How this triple was built (4 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: Olonkinbyen | Statement: [Jan Mayen, hasSettlement, Olonkinbyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olonkinbyen Context triple: [Jan Mayen, hasSettlement, Olonkinbyen]
-
A.
Olenyok
Olenyok is a remote settlement in the Sakha Republic of Russia, located in the Arctic region and known for its extremely harsh climate and traditional Indigenous (Evenki and Yakut) culture.
-
B.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
C.
Apsua
Apsua is the endonym used by the Abkhazian people to refer to themselves and their language.
-
D.
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.
-
E.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Olonkinbyen Triple: [Jan Mayen, hasSettlement, Olonkinbyen]
Generated description
Olonkinbyen is the small Norwegian research and military station that serves as the only inhabited settlement on the remote Arctic island of Jan Mayen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olonkinbyen Target entity description: Olonkinbyen is the small Norwegian research and military station that serves as the only inhabited settlement on the remote Arctic island of Jan Mayen.
-
A.
Olenyok
Olenyok is a remote settlement in the Sakha Republic of Russia, located in the Arctic region and known for its extremely harsh climate and traditional Indigenous (Evenki and Yakut) culture.
-
B.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
-
C.
Apsua
Apsua is the endonym used by the Abkhazian people to refer to themselves and their language.
-
D.
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.
-
E.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
- F. None of above. chosen
Provenance (5 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbae7182081908b7045a15a2275d8 |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb4929bc8190829b933924691fc2 |
completed | March 7, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbbfee7e88190b216beef1c862f64 |
completed | March 7, 2026, 11:59 p.m. |
Created at: March 1, 2026, 7:51 p.m.