Triple
T30625162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tendai |
E779555
|
entity |
| Predicate | introducedToJapanFrom |
P113862
|
FINISHED |
| Object | China |
—
|
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: China | Statement: [Tendai, introducedToJapanFrom, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedToJapanFrom Context triple: [Tendai, introducedToJapanFrom, China]
-
A.
introducedToJapan
chosen
Indicates that one entity brought or presented another entity into Japan for the first time or for initial exposure there.
-
B.
dateOfIntroductionToJapan
Indicates the date on which something was first introduced or brought into Japan.
-
C.
introducedToChina
Indicates that an entity was brought or presented to China for the first time or for initial adoption or exposure.
-
D.
originatesFromIsland
Indicates that the subject has its origin or source located on an island.
-
E.
introducedToIndiaBy
Indicates that something was brought or made known to India by a particular agent, source, or intermediary.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 29, 2026, 8:27 p.m.