Triple
T5891346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier of Åland |
E130994
|
entity |
| Predicate | nativeLabel |
P657
|
FINISHED |
| Object |
Lantrådet
Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
|
E552368
|
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: Lantrådet | Statement: [Premier of Åland, nativeLabel, Lantrådet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lantrådet Context triple: [Premier of Åland, nativeLabel, Lantrådet]
-
A.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
B.
Lågen
Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
-
C.
Luoravetlan
Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
-
D.
Runhällen
Runhällen is a small locality in central Sweden situated within Heby Municipality in Uppsala County.
-
E.
Vatteluttu
Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
- 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: Lantrådet Triple: [Premier of Åland, nativeLabel, Lantrådet]
Generated description
Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lantrådet Target entity description: Lantrådet is the title used for the head of government of the autonomous Finnish region of Åland.
-
A.
Dovrebanen
Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
-
B.
Lågen
Lågen is a major river in southeastern Norway that flows through the Gudbrandsdalen valley before joining the Mjøsa lake.
-
C.
Luoravetlan
Luoravetlan is an indigenous people of northeastern Siberia, traditionally semi-nomadic reindeer herders and coastal hunters living in the Chukotka region of Russia.
-
D.
Runhällen
Runhällen is a small locality in central Sweden situated within Heby Municipality in Uppsala County.
-
E.
Vatteluttu
Vatteluttu is an ancient South Indian script used primarily to write early Tamil and Malayalam before being replaced by the modern Tamil and Malayalam scripts.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b45bec81908a13f39bbc181a59 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b14c2ff081908243988d5815be6d |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b1fabe448190be7d93b1f8c17c2a |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b29d6048819086c4d4cd01c64a51 |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:58 p.m.