Triple
T6766120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial court of Japan |
E154722
|
entity |
| Predicate | usedTitleSystem |
P9683
|
FINISHED |
| Object | kabane |
—
|
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: kabane | Statement: [Imperial court of Japan, usedTitleSystem, kabane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTitleSystem Context triple: [Imperial court of Japan, usedTitleSystem, kabane]
-
A.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
B.
usedAsTitleUntil
Indicates that a particular title was held or used by an entity up to (and including or until) a specified end time.
-
C.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
D.
titleSystem
chosen
Indicates that a system assigns or holds a formal title or designation for an entity.
-
E.
firstUseAsTitleBy
Indicates that an entity is the first to use a given term, phrase, or designation as a formal title for another entity.
- 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_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. |
Created at: March 27, 2026, 2:12 p.m.