Triple
T1837489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyösti Kallio |
E41097
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kyösti
Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
|
E205324
|
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: Kyösti | Statement: [Kyösti Kallio, givenName, Kyösti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyösti Context triple: [Kyösti Kallio, givenName, Kyösti]
-
A.
Kooda
"Kooda" is a high-energy hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive delivery and colorful, chaotic music video that helped launch his mainstream notoriety.
-
B.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
C.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
D.
Parainen
Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
-
E.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
- 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: Kyösti Triple: [Kyösti Kallio, givenName, Kyösti]
Generated description
Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyösti Target entity description: Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
-
A.
Kooda
"Kooda" is a high-energy hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive delivery and colorful, chaotic music video that helped launch his mainstream notoriety.
-
B.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
C.
Vitasta
Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
-
D.
Parainen
Parainen is a coastal town and municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
-
E.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0380a4c81909a2ad0bfd97c884a |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b6dc9481908a83e60aee326bc4 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaef04e88190a88f789a6370bafb |
completed | March 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcb8e053c819082a3d4b36afe35be |
completed | March 8, 2026, 7:18 p.m. |
Created at: March 4, 2026, 7:33 p.m.