Triple
T36357494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōshaku |
E895384
|
entity |
| Predicate | rankInKazoku |
P85550
|
FINISHED |
| Object | third rank |
—
|
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 rank | Statement: [Kōshaku, rankInKazoku, third rank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInKazoku Context triple: [Kōshaku, rankInKazoku, third rank]
-
A.
rankWithinKazoku
chosen
Indicates the hierarchical position or status an individual holds within the Kazoku (Japanese peerage) nobility system.
-
B.
familyRank
Indicates the hierarchical position or status an entity holds within a family or kinship structure.
-
C.
rankRelativeToDaijō-daijin
Indicates the relative hierarchical rank or status of an entity in comparison to the position of Daijō-daijin (Chancellor of the Realm).
-
D.
rankWithinJapan
Indicates the relative position or standing of something when compared only among counterparts within Japan.
-
E.
rankInJapaneseOrders
Indicates the position or level an entity holds within the hierarchy of Japanese orders, decorations, or honors.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:09 p.m.