Triple
T11309810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淀川 |
E267806
|
entity |
| Predicate | 流域機能 |
P4362
|
FINISHED |
| Object | 京阪神地域の水資源供給 |
—
|
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: 京阪神地域の水資源供給 | Statement: [淀川, 流域機能, 京阪神地域の水資源供給]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流域機能 Context triple: [淀川, 流域機能, 京阪神地域の水資源供給]
-
A.
hasHydrologicalFunction
chosen
Indicates that something performs a role or action related to the movement, storage, or regulation of water within a hydrological system.
-
B.
waterwayFunction
Indicates the primary role or purpose that a waterway serves, such as transportation, irrigation, drainage, or recreation.
-
C.
hydrologyFeature
Indicates a relationship where one entity is a hydrological feature (such as a body or flow of water) associated with or characterizing another entity.
-
D.
watercourseFeature
Indicates that a feature is a physical characteristic or component associated with a watercourse (such as a river, stream, or canal).
-
E.
inflowWatercourse
Indicates that one watercourse flows into or feeds another water body or watercourse.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.