Triple
T27489763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Taiwanese presidential election |
E693845
|
entity |
| Predicate | LienChanVoteShare |
P162665
|
FINISHED |
| Object | 23.10% |
—
|
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: 23.10% | Statement: [2000 Taiwanese presidential election, LienChanVoteShare, 23.10%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LienChanVoteShare Context triple: [2000 Taiwanese presidential election, LienChanVoteShare, 23.10%]
-
A.
ukipVoteShareChange
Indicates the change in the proportion of votes received by UKIP between two elections or time periods.
-
B.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
C.
congressionalVoteWinner
Indicates which option, candidate, or position received the majority of votes in a specific congressional vote.
-
D.
ChenShuiBianVotes
Indicates that Chen Shui-bian casts or has cast a vote in a particular decision, election, or legislative action.
-
E.
electionParticipatedIn
Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e882cbc81908caa3e8a5fb5c1f4 |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 1:04 p.m.