Triple
T743556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuomintang |
E15292
|
entity |
| Predicate | lostPresidency |
P18911
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Kuomintang, lostPresidency, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostPresidency Context triple: [Kuomintang, lostPresidency, 2016]
-
A.
presidency
Indicates that an entity holds or relates to the office, role, or term of serving as president over a state, organization, or institution.
-
B.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
-
C.
endOfSecondPresidency
Indicates the point in time when an entity’s second term in a presidential office concludes.
-
D.
reElectedToPresidency
Indicates that an individual, having previously served as president, is chosen again to hold the office of the presidency.
-
E.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.