Triple
T25322566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 慈湖 |
E634922
|
entity |
| Predicate | isProtectedAreaType |
P110335
|
FINISHED |
| Object | 風景遊憩區 |
—
|
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: 風景遊憩區 | Statement: [慈湖, isProtectedAreaType, 風景遊憩區]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProtectedAreaType Context triple: [慈湖, isProtectedAreaType, 風景遊憩區]
-
A.
isProtectedAreaOf
Indicates that a designated protected area (such as a park or reserve) is established to conserve and manage a specific geographic region or natural feature.
-
B.
isProtectedAreaFeature
Indicates that something is a designated feature or element within a protected area, such as a park, reserve, or conservation zone.
-
C.
isProtectedAreaStatus
Indicates that an entity has a designated protection status, typically signifying legal or formal recognition as a protected area.
-
D.
hasProtectedArea
Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
-
E.
isTypeOfProtectedArea
chosen
Indicates that one entity is classified as a specific type or category of protected area in relation to another entity.
- 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_69e75a9908108190a95427a97020632a |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4969035ac8190a35a8f6c4e4685a7 |
completed | May 1, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:29 p.m.