Triple
T11853014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rinzai |
E281956
|
entity |
| Predicate | introducedToJapanInCentury |
P51800
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [Rinzai, introducedToJapanInCentury, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedToJapanInCentury Context triple: [Rinzai, introducedToJapanInCentury, 12th century]
-
A.
dateOfIntroductionToJapan
chosen
Indicates the date on which something was first introduced or brought into Japan.
-
B.
introducedInCentury
Indicates the century during which something (such as an idea, technology, practice, or entity) was first introduced or came into use.
-
C.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
-
D.
revealedInCentury
Indicates that something became known, disclosed, or publicly revealed during a specified century.
-
E.
circulatedToCentury
Indicates that something (such as a work, idea, or object) was in circulation or actively disseminated during a specified century.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.