Triple
T27489762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Taiwanese presidential election |
E693845
|
entity |
| Predicate | LienChanVotes |
P10095
|
FINISHED |
| Object | 2,925,513 |
—
|
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: 2,925,513 | Statement: [2000 Taiwanese presidential election, LienChanVotes, 2,925,513]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LienChanVotes Context triple: [2000 Taiwanese presidential election, LienChanVotes, 2,925,513]
-
A.
voteRecord
Indicates that an entity has cast a specific vote or holds a particular voting position in a given decision or election.
-
B.
votingSystemChamber
Indicates the specific legislative chamber in which a given voting system is used or applies.
-
C.
heldVoteIn
Indicates that an entity organized or conducted a formal vote or election within a specified context or body.
-
D.
votingStatus
Indicates whether an entity is currently eligible, registered, or has participated in a voting process.
-
E.
voteResult
chosen
Indicates the outcome or decision produced by a voting process involving the related entities.
- 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_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. |
Created at: April 27, 2026, 1:04 p.m.