Triple
T11741801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 桂川 |
E279172
|
entity |
| Predicate | 治水上の役割 |
P13535
|
FINISHED |
| Object | 京都盆地の洪水対策 |
—
|
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: 京都盆地の洪水対策 | Statement: [桂川, 治水上の役割, 京都盆地の洪水対策]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 治水上の役割 Context triple: [桂川, 治水上の役割, 京都盆地の洪水対策]
-
A.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
B.
transportsWaterFrom
Indicates that one entity carries or conveys water from a specified source entity to another location or entity.
-
C.
hasWaterwayRole
chosen
Indicates that an entity participates in or is associated with a waterway in a specific functional capacity or role.
-
D.
waterwayFunction
Indicates the primary role or purpose that a waterway serves, such as transportation, irrigation, drainage, or recreation.
-
E.
waterTransport
Indicates the movement or conveyance of something from one place to another via water-based means such as rivers, seas, or other aquatic routes.
- 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.