Triple
T27992947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matteo Ricci |
E706927
|
entity |
| Predicate | introducedToChina |
P180857
|
FINISHED |
| Object | Euclidean geometry |
—
|
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: Euclidean geometry | Statement: [Matteo Ricci, introducedToChina, Euclidean geometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedToChina Context triple: [Matteo Ricci, introducedToChina, Euclidean geometry]
-
A.
introducedToJapan
Indicates that one entity brought or presented another entity into Japan for the first time or for initial exposure there.
-
B.
knownToAncientChinese
Indicates that something was recognized, identified, or understood by people in ancient Chinese civilizations.
-
C.
returnedToChina
Indicates that an entity went back to China after having been away.
-
D.
yearsInChina
Indicates the number of years an entity has spent in or been present in China.
-
E.
dateOfIntroductionToJapan
Indicates the date on which something was first introduced or brought into Japan.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 27, 2026, 7:51 p.m.