Triple
T37061227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 芥川 |
E917328
|
entity |
| Predicate | 環境的特徴 |
P155015
|
FINISHED |
| Object | 都市域と自然域が混在する河川環境 |
—
|
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: 都市域と自然域が混在する河川環境 | Statement: [芥川, 環境的特徴, 都市域と自然域が混在する河川環境]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 環境的特徴 Context triple: [芥川, 環境的特徴, 都市域と自然域が混在する河川環境]
-
A.
environmentalFeatureOf
chosen
Indicates a relationship where one entity is a natural or environmental characteristic, component, or attribute of another entity or place.
-
B.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
C.
性質
Indicates a characteristic or inherent quality that an entity possesses.
-
D.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
E.
出身地の特徴
Indicates the characteristic or notable features associated with a person's place of origin.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.