Triple
T594559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Norway |
E17350
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Senja
Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
|
E79491
|
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: Senja | Statement: [Northern Norway, containsIsland, Senja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senja Context triple: [Northern Norway, containsIsland, Senja]
-
A.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
B.
Salla
Salla is a sparsely populated municipality in northeastern Finland, known for its remote wilderness landscapes and history of territorial changes during the Winter War and World War II.
-
C.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
-
D.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
E.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
- 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: Senja Triple: [Northern Norway, containsIsland, Senja]
Generated description
Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senja Target entity description: Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
-
A.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
B.
Salla
Salla is a sparsely populated municipality in northeastern Finland, known for its remote wilderness landscapes and history of territorial changes during the Winter War and World War II.
-
C.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
-
D.
Yumeshima
Yumeshima is a large artificial island in Osaka, Japan, known for planned large-scale developments including expo and integrated resort projects.
-
E.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56eeb783c819096d6557d31608ce4 |
completed | March 2, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_69a56f749cb48190b0976b157309dc84 |
completed | March 2, 2026, 11:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56fedabcc8190a6dd0a268350ca5d |
completed | March 2, 2026, 11:09 a.m. |
Created at: March 1, 2026, 7:33 p.m.