Triple
T14948530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemuro Subprefecture |
E372729
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lake Furen
Lake Furen is a coastal lagoon in eastern Hokkaido, Japan, known for its rich wetlands and importance as a habitat for migratory birds.
|
E1158445
|
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: Lake Furen | Statement: [Nemuro Subprefecture, contains, Lake Furen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Furen Context triple: [Nemuro Subprefecture, contains, Lake Furen]
-
A.
Lake Shoji
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
B.
Yunoko Lake
Yunoko Lake is a scenic mountain lake in Japan’s Nikkō region, known for its clear waters, surrounding hot springs, and vibrant autumn foliage.
-
C.
Lake Kamo
Lake Kamo is a scenic coastal lagoon on Sado Island in Niigata Prefecture, Japan, known for its oyster farming and tranquil natural surroundings.
-
D.
Kareri Lake
Kareri Lake is a high-altitude glacial lake in Himachal Pradesh, India, popular as a scenic trekking destination in the Dhauladhar region of the Himalayas.
-
E.
Maota Lake
Maota Lake is a historic artificial lake in Jaipur, India, known for its scenic setting below the Amber Fort and its role as a former water source for the fort complex.
- 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: Lake Furen Triple: [Nemuro Subprefecture, contains, Lake Furen]
Generated description
Lake Furen is a coastal lagoon in eastern Hokkaido, Japan, known for its rich wetlands and importance as a habitat for migratory birds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Furen Target entity description: Lake Furen is a coastal lagoon in eastern Hokkaido, Japan, known for its rich wetlands and importance as a habitat for migratory birds.
-
A.
Lake Shoji
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
B.
Yunoko Lake
Yunoko Lake is a scenic mountain lake in Japan’s Nikkō region, known for its clear waters, surrounding hot springs, and vibrant autumn foliage.
-
C.
Lake Kamo
Lake Kamo is a scenic coastal lagoon on Sado Island in Niigata Prefecture, Japan, known for its oyster farming and tranquil natural surroundings.
-
D.
Kareri Lake
Kareri Lake is a high-altitude glacial lake in Himachal Pradesh, India, popular as a scenic trekking destination in the Dhauladhar region of the Himalayas.
-
E.
Maota Lake
Maota Lake is a historic artificial lake in Jaipur, India, known for its scenic setting below the Amber Fort and its role as a former water source for the fort complex.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68fae3c81909873b113bfcaca05 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce5d0708190bbfff5d68c5e7a3c |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2d991c94819094e00a634d5b0948 |
completed | May 9, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2e5077cc819096208137ef5c99bb |
completed | May 9, 2026, 12:53 p.m. |
Created at: April 10, 2026, 2:39 a.m.