Triple
T28790802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 賴清德 |
E726945
|
entity |
| Predicate | 2024年總統選舉主要對手 |
P26912
|
FINISHED |
| Object | 侯友宜 |
—
|
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: 侯友宜 | Statement: [賴清德, 2024年總統選舉主要對手, 侯友宜]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2024年總統選舉主要對手 Context triple: [賴清德, 2024年總統選舉主要對手, 侯友宜]
-
A.
successorAsPresidentElectOpponent
Indicates that one person became the next presidential candidate (president-elect) opposing the same party or candidate that another person had previously opposed.
-
B.
hasMajorPartyCandidate
Indicates that an election, race, or contest includes at least one candidate representing a major political party.
-
C.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
D.
electionOpponent
chosen
Indicates that two individuals are rivals competing against each other in the same election.
-
E.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 6:23 a.m.