Triple
T26340817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaga Hyakumangoku |
E662639
|
entity |
| Predicate | landAssessmentSystem |
P160262
|
FINISHED |
| Object | kokudaka system |
—
|
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: kokudaka system | Statement: [Kaga Hyakumangoku, landAssessmentSystem, kokudaka system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landAssessmentSystem Context triple: [Kaga Hyakumangoku, landAssessmentSystem, kokudaka system]
-
A.
landAdministrationSystem
Indicates a system or framework through which land rights, ownership, use, and related records are formally managed, recorded, and regulated.
-
B.
landManagement
Indicates how land is planned, used, and controlled over time, including decisions about its conservation, development, and resource use.
-
C.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
D.
estateSize
Indicates the relative magnitude or area of a property or landholding associated with an entity.
-
E.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
- F. None of above. chosen
Provenance (4 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa2af708190a41199a1bd022ed2 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:38 p.m.