Triple
T13448332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarek National Park |
E320542
|
entity |
| Predicate | hasGlacier |
P4580
|
FINISHED |
| Object |
Mikka
Mikka is a glacier located within Sweden’s remote and mountainous Sarek National Park.
|
E1041125
|
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: Mikka | Statement: [Sarek National Park, hasGlacier, Mikka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikka Context triple: [Sarek National Park, hasGlacier, Mikka]
-
A.
Mikko
Mikko is a Finnish given name commonly used for males, equivalent to the English name Michael.
-
B.
Mikael Hakkarainen
Mikael Hakkarainen is a Finnish professional ice hockey forward who has played in North American junior and professional leagues and was drafted by the Chicago Blackhawks in the NHL.
-
C.
Mikko Heikka
Mikko Heikka is a Finnish Lutheran bishop best known for serving as the inaugural bishop of the Diocese of Espoo in the Evangelical Lutheran Church of Finland.
-
D.
Jussi Pakkanen
Jussi Pakkanen is a Finnish software developer best known as the original author of the Meson build system.
-
E.
Timo Aila
Timo Aila is a computer scientist and researcher at NVIDIA known for his influential work in computer graphics and deep learning, including co-developing the StyleGAN generative adversarial network architecture.
- 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: Mikka Triple: [Sarek National Park, hasGlacier, Mikka]
Generated description
Mikka is a glacier located within Sweden’s remote and mountainous Sarek National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mikka Target entity description: Mikka is a glacier located within Sweden’s remote and mountainous Sarek National Park.
-
A.
Mikko
Mikko is a Finnish given name commonly used for males, equivalent to the English name Michael.
-
B.
Mikael Hakkarainen
Mikael Hakkarainen is a Finnish professional ice hockey forward who has played in North American junior and professional leagues and was drafted by the Chicago Blackhawks in the NHL.
-
C.
Mikko Heikka
Mikko Heikka is a Finnish Lutheran bishop best known for serving as the inaugural bishop of the Diocese of Espoo in the Evangelical Lutheran Church of Finland.
-
D.
Jussi Pakkanen
Jussi Pakkanen is a Finnish software developer best known as the original author of the Meson build system.
-
E.
Timo Aila
Timo Aila is a computer scientist and researcher at NVIDIA known for his influential work in computer graphics and deep learning, including co-developing the StyleGAN generative adversarial network architecture.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73998221c8190a2d8982a3da28ec9 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73a598c6c81908420b00b665e3b08 |
completed | May 3, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73e0e598c8190b030a45e658a5055 |
completed | May 3, 2026, 12:22 p.m. |
Created at: April 9, 2026, 9:41 p.m.