Triple
T37868387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kushiro Wetlands |
E944536
|
entity |
| Predicate | isLargestMarshlandIn |
P189309
|
FINISHED |
| Object | Japan |
—
|
NE NERFINISHED |
How this triple was built (2 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: Japan | Statement: [Kushiro Wetlands, isLargestMarshlandIn, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestMarshlandIn Context triple: [Kushiro Wetlands, isLargestMarshlandIn, Japan]
-
A.
largestLagoonOn
Indicates that one entity is the largest lagoon located on or associated with the surface of another entity.
-
B.
hasLargestFreshwaterCoastlineIn
Indicates that an entity possesses the greatest total length of freshwater coastline within a specified geographic region or set of entities.
-
C.
isLargestFreshwaterLakeIn
Indicates that a lake is the largest freshwater lake within the specified geographic region or area.
-
D.
isLargestIslandIn
Indicates that one island is the largest (by area) among all islands within a specified geographic or political region.
-
E.
isLargestSaltwaterLakeIn
Indicates that a lake is the largest saltwater lake within a specified geographic region or area.
- F. None of above. chosen
Provenance (4 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.