Triple
T29716344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 阿賀野川 |
E751918
|
entity |
| Predicate | 流域特性 |
P159243
|
FINISHED |
| Object | 豪雪地帯を流れる河川 |
—
|
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: 豪雪地帯を流れる河川 | Statement: [阿賀野川, 流域特性, 豪雪地帯を流れる河川]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 流域特性 Context triple: [阿賀野川, 流域特性, 豪雪地帯を流れる河川]
-
A.
流域特点
chosen
Indicates the characteristic features or attributes that define a river basin’s natural or environmental conditions.
-
B.
hydrologicalCharacteristic
Indicates a relationship where a hydrological feature or condition (such as water flow, level, or behavior) characterizes or describes another entity.
-
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.
hasRiverineCharacteristic
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
E.
hasHydrologicalRegime
Indicates that one entity (typically a water body or hydrological system) is characterized by, or associated with, a particular pattern or regime of water flow and levels over time.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672dcd4b88190828b19990dfe6ed9 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:34 p.m.