Triple
T6286956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan Shikai |
E140923
|
entity |
| Predicate | startTime as President of the Republic of China |
P14209
|
FINISHED |
| Object | 1912-03-10 |
—
|
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: 1912-03-10 | Statement: [Yuan Shikai, startTime as President of the Republic of China, 1912-03-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime as President of the Republic of China Context triple: [Yuan Shikai, startTime as President of the Republic of China, 1912-03-10]
-
A.
startTime as Governor-General of Korea
Indicates the point in time at which an individual began serving in the role of Governor-General of Korea.
-
B.
startTimeAsECPresident
Indicates the point in time at which an individual begins their term serving as President of the European Commission.
-
C.
startTimeAsHeadOfState
Indicates the date and time when an individual begins their tenure or service as a head of state.
-
D.
startTime (term as President of Italy)
Indicates the date and time at which an individual’s term as President of Italy officially begins.
-
E.
presidentTermStart
chosen
Indicates the date or point in time when an individual officially begins serving as president of an entity.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ff9f74819088dc603f56fc930c |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.