Triple
T11741776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 桂川 |
E279172
|
entity |
| Predicate | 流路 |
P27579
|
FINISHED |
| Object | 京都市内を流れる |
—
|
LITERAL FINISHED |
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: 京都市内を流れる | Statement: [桂川, 流路, 京都市内を流れる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流路 Context triple: [桂川, 流路, 京都市内を流れる]
-
A.
waterwayThrough
chosen
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
B.
flowsThroughLandscape
Indicates that something (typically a fluid or moving entity) passes through or traverses a particular landscape or terrain.
-
C.
outflowWatercourse
Indicates the watercourse (such as a river, stream, or channel) into which a body of water flows out.
-
D.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
E.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
- F. None of above.
Provenance (3 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f191388190bd6ef7e80c41ca48 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.