Triple
T13448400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padjelanta National Park |
E320543
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sallohaure
Sallohaure is a lake in northern Sweden located within Padjelanta National Park, known for its remote Arctic landscape and surrounding mountain scenery.
|
E1041139
|
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: Sallohaure | Statement: [Padjelanta National Park, contains, Sallohaure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sallohaure Context triple: [Padjelanta National Park, contains, Sallohaure]
-
A.
Salamansa
Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Asalem
Asalem is a small town in Iran’s Gilan Province, known for its lush forests and mountainous landscapes along the Caspian Sea region.
-
D.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
E.
Salala
Salala is a town in central Liberia that serves as an important local hub within Bong County.
- 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: Sallohaure Triple: [Padjelanta National Park, contains, Sallohaure]
Generated description
Sallohaure is a lake in northern Sweden located within Padjelanta National Park, known for its remote Arctic landscape and surrounding mountain scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sallohaure Target entity description: Sallohaure is a lake in northern Sweden located within Padjelanta National Park, known for its remote Arctic landscape and surrounding mountain scenery.
-
A.
Salamansa
Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Asalem
Asalem is a small town in Iran’s Gilan Province, known for its lush forests and mountainous landscapes along the Caspian Sea region.
-
D.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
E.
Salala
Salala is a town in central Liberia that serves as an important local hub within Bong County.
- 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.