Triple
T28813435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 富士川 |
E727575
|
entity |
| Predicate | 治水上の課題 |
P75879
|
FINISHED |
| Object | 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: 洪水対策 | Statement: [富士川, 治水上の課題, 洪水対策]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 治水上の課題 Context triple: [富士川, 治水上の課題, 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.
tookOnWater
Indicates that an entity began to fill or absorb water, typically in an unintended or problematic way (e.g., a vessel leaking or flooding).
-
C.
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.
-
D.
impactedRiver
Indicates that one entity has caused a significant effect, alteration, or disturbance to a river or its conditions.
-
E.
hydrologicalIssue
chosen
Indicates a relationship where one entity is the subject or source of a problem, concern, or challenge related to water movement, distribution, or quality in the hydrological system.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658f163a88190b1dd222eaa0f93ea |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:31 a.m.