Triple
T15661320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meat-shaped Stone |
E376571
|
entity |
| Predicate | transferredToTaiwan |
P115886
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Meat-shaped Stone, transferredToTaiwan, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferredToTaiwan Context triple: [Meat-shaped Stone, transferredToTaiwan, 1940s]
-
A.
yearGovernmentMovedToTaiwan
Indicates the year in which a government relocated its seat or central administration to Taiwan.
-
B.
transferredUnder
chosen
Indicates that something is moved, conveyed, or reassigned from one party, context, or control to another under specified terms or conditions.
-
C.
returnedToChina
Indicates that an entity went back to China after having been away.
-
D.
intendedToCrossStrait
Indicates that an entity had the purpose or plan to traverse from one side of a strait to the other.
-
E.
cededToCountry
Indicates that control, ownership, or sovereignty over something was formally transferred from one country to another.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef4e6a08190ad8bbafaa3612f22 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.