Triple
T21522088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 明日香村 |
E530999
|
entity |
| Predicate | 地理的特徴 |
P12436
|
FINISHED |
| Object | 奈良盆地南部に位置する |
—
|
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: 奈良盆地南部に位置する | Statement: [明日香村, 地理的特徴, 奈良盆地南部に位置する]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地理的特徴 Context triple: [明日香村, 地理的特徴, 奈良盆地南部に位置する]
-
A.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
B.
hasGeographyCharacteristic
chosen
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
C.
physicalFeature
Indicates that one entity possesses or exhibits a particular physical characteristic or attribute.
-
D.
geographicalEffect
Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
-
E.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884cff5881908d93a54578e7b1b0 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:26 p.m.