Triple
T26340787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaga Hyakumangoku |
E662639
|
entity |
| Predicate | kokudakaType |
P116276
|
FINISHED |
| Object | rice-based assessment |
—
|
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: rice-based assessment | Statement: [Kaga Hyakumangoku, kokudakaType, rice-based assessment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kokudakaType Context triple: [Kaga Hyakumangoku, kokudakaType, rice-based assessment]
-
A.
kokudaka
chosen
Indicates a relationship where a landholding or domain is assigned a value based on its assessed agricultural productivity or tax yield, typically measured in koku.
-
B.
KaumodakiOf
Indicates that one entity is the Kaumodaki (the specific mace/weapon) associated with, possessed by, or emblematic of another entity.
-
C.
roleInShinKokinWakashu
Indicates the specific role or involvement an entity has in relation to the Shin Kokin Wakashū (e.g., as compiler, editor, or contributor).
-
D.
KandaMatsuriType
Indicates that there is a relationship specifying the type or category of a Kanda Matsuri festival event.
-
E.
kurumOdağı
Indicates a focus on or orientation toward an institution, organization, or corporate entity in the context of the described relationship or action.
- 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_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. |
Created at: April 26, 2026, 10:38 p.m.