Triple
T37060793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 交野山 |
E917317
|
entity |
| Predicate | 山頂の特徴 |
P88540
|
FINISHED |
| Object | 展望が開けている |
—
|
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: 展望が開けている | Statement: [交野山, 山頂の特徴, 展望が開けている]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 山頂の特徴 Context triple: [交野山, 山頂の特徴, 展望が開けている]
-
A.
mountainFeature
chosen
Indicates that one entity is a notable physical or geographical feature associated with, located on, or forming part of a mountain.
-
B.
関連する山頂
Indicates a relationship where one mountain peak is associated or connected to another mountain peak in some relevant way.
-
C.
crestFeature
Indicates that an entity possesses a notable crest-related characteristic or structural feature.
-
D.
sideOfMountain
Indicates that one entity is located on or corresponds to a particular side or face of a mountain relative to another entity.
-
E.
homeMountainOf
Indicates that a particular mountain is the primary or native mountain associated with a given entity (such as a person, group, or organization).
- 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.