Triple
T23634984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokuyama Bay area |
E583717
|
entity |
| Predicate | isWithinProtectedAreaSystem |
P10759
|
FINISHED |
| Object | Japan national parks system |
—
|
NE NERFINISHED |
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: Japan national parks system | Statement: [Tokuyama Bay area, isWithinProtectedAreaSystem, Japan national parks system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinProtectedAreaSystem Context triple: [Tokuyama Bay area, isWithinProtectedAreaSystem, Japan national parks system]
-
A.
isInProtectedArea
chosen
Indicates that an entity is located within a designated protected or conservation area.
-
B.
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.
-
C.
isTypeOfProtectedArea
Indicates that one entity is classified as a specific type or category of protected area in relation to another entity.
-
D.
isInProtectedAreaVicinity
Indicates that an entity is located close to, but not necessarily within, a designated protected area.
-
E.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1eb38a481909f7ceeaefb7b43ce |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.