Triple
T25673026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadaijin |
E643728
|
entity |
| Predicate | rankRelativeToDaijō-daijin |
P159177
|
FINISHED |
| Object | subordinate to the Daijō-daijin |
—
|
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: subordinate to the Daijō-daijin | Statement: [Sadaijin, rankRelativeToDaijō-daijin, subordinate to the Daijō-daijin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankRelativeToDaijō-daijin Context triple: [Sadaijin, rankRelativeToDaijō-daijin, subordinate to the Daijō-daijin]
-
A.
rankInJapaneseOrders
Indicates the position or level an entity holds within the hierarchy of Japanese orders, decorations, or honors.
-
B.
rankWithinJapan
Indicates the relative position or standing of something when compared only among counterparts within Japan.
-
C.
rankWithinKamakuraGozan
Indicates the position or level an entity holds within the hierarchical ranking system of the Kamakura Gozan (the Five Great Zen Temples of Kamakura).
-
D.
rankingByHeightInJapan
Indicates the relative order of entities based on their height specifically within the context of Japan.
-
E.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3460488190a720fe1f708509f2 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 7:31 p.m.