Triple
T29794623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 豊郷町 |
E756511
|
entity |
| Predicate | 観光の特徴 |
P84159
|
FINISHED |
| Object | アニメファンの聖地巡礼が盛ん |
—
|
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: アニメファンの聖地巡礼が盛ん | Statement: [豊郷町, 観光の特徴, アニメファンの聖地巡礼が盛ん]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 観光の特徴 Context triple: [豊郷町, 観光の特徴, アニメファンの聖地巡礼が盛ん]
-
A.
tourismCharacteristic
chosen
Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
-
B.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
C.
travelCharacteristic
Indicates a quality, feature, or attribute that characterizes how travel or movement is conducted or experienced.
-
D.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
E.
tourismTheme
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f674e5cf0c81908f779723cf602daf |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:14 p.m.