Triple
T26618446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form VII |
E668128
|
entity |
| Predicate | Juyo |
P161056
|
FINISHED |
| Object | traditional variant of Form VII |
—
|
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: traditional variant of Form VII | Statement: [Form VII, Juyo, traditional variant of Form VII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Juyo Context triple: [Form VII, Juyo, traditional variant of Form VII]
-
A.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
B.
仕えた君主
Indicates a relationship where someone served or was in the service of a particular lord or sovereign.
-
C.
ichinomiya
Indicates a relationship where a location or institution holds the status of "Ichinomiya," the primary or highest-ranking Shinto shrine of a historical province.
-
D.
تُجل
Indicates showing great respect, reverence, or veneration toward someone or something.
-
E.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615af6b488190819cd865b9b7527e |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:19 a.m.