Triple
T27087556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Asaka Yuriko |
E686075
|
entity |
| Predicate | isPartOfMonarchyOf |
P20193
|
FINISHED |
| Object | Japan |
—
|
NE NERFINISHED |
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: Japan | Statement: [Princess Asaka Yuriko, isPartOfMonarchyOf, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMonarchyOf Context triple: [Princess Asaka Yuriko, isPartOfMonarchyOf, Japan]
-
A.
countryOfMonarchy
Indicates that a monarchy is associated with or rules over a particular country.
-
B.
partOfHistoricalMonarchy
Indicates that an entity belonged to, was included within, or was under the authority of a specific historical monarchy.
-
C.
headOfStateAllegiance
Indicates the formal political or sovereign authority to which a head of state owes allegiance or under whose jurisdiction they serve.
-
D.
kingdomAssociatedWith
chosen
Indicates a relationship where something is connected or related to a particular kingdom, such as belonging to, originating from, or being governed by that kingdom.
-
E.
subnationalMonarchOf
Indicates that a person serves as the monarch or sovereign ruler of a subnational political unit (such as a state, province, or region) within a larger country or empire.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 8:38 a.m.