Triple
T27489758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Taiwanese presidential election |
E693845
|
entity |
| Predicate | ChenShuiBianVotes |
P162443
|
FINISHED |
| Object | 4,977,697 |
—
|
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: 4,977,697 | Statement: [2000 Taiwanese presidential election, ChenShuiBianVotes, 4,977,697]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChenShuiBianVotes Context triple: [2000 Taiwanese presidential election, ChenShuiBianVotes, 4,977,697]
-
A.
numberOfVotesInImperialElection
Indicates the quantity of votes an entity received in an imperial election.
-
B.
speakerSeatsWon
Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
-
C.
stoodDownAtElection
Indicates that an individual chose not to stand as a candidate in a particular election in which they had previously been eligible or expected to run.
-
D.
electoratesCalled
Indicates that specific electoral districts or constituencies are given particular names or designations.
-
E.
electedWith
Indicates that one entity attained an elected position or office together with, or as part of the same electoral outcome as, another entity.
- 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_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 1:04 p.m.