Triple
T6766085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimotsumaki |
E154721
|
entity |
| Predicate | orderInKojiki |
P73141
|
FINISHED |
| Object | third and final volume |
—
|
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: third and final volume | Statement: [Shimotsumaki, orderInKojiki, third and final volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInKojiki Context triple: [Shimotsumaki, orderInKojiki, third and final volume]
-
A.
roleInKojiki
Indicates the role or function an entity holds within the narrative or structure of the Kojiki.
-
B.
nameOrderInJapan
Indicates that the person’s name is written or presented in the Japanese order, with the family name appearing before the given name.
-
C.
firstJapaneseOrder
Indicates that the subject is the first Japanese entity to receive, place, or be associated with a particular order, request, or formal command.
-
D.
The Pillow Book
Indicates a relationship where an entity is associated with or identified as the work titled "The Pillow Book."
-
E.
kanji
Indicates that an entity is written in, represented by, or associated with a specific kanji character or set of kanji characters.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d22ed30881909e1bfcfb8cf175a2 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:12 p.m.