Triple
T27489781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Taiwanese presidential election |
E693845
|
entity |
| Predicate | JamesSoongRunningMate |
P163268
|
FINISHED |
| Object | Chang Chao-hsiung |
—
|
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: Chang Chao-hsiung | Statement: [2000 Taiwanese presidential election, JamesSoongRunningMate, Chang Chao-hsiung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JamesSoongRunningMate Context triple: [2000 Taiwanese presidential election, JamesSoongRunningMate, Chang Chao-hsiung]
-
A.
JamesSoongVotes
Indicates that James Soong casts a vote or supports a particular candidate, policy, or decision.
-
B.
JamesSoongVoteShare
Indicates the proportion of total votes received by James Soong in a given election or electoral context.
-
C.
دين رئيسي
Indicates a primary or main religious affiliation that an entity predominantly follows or is associated with.
-
D.
runningMateOfKrisKobach
Indicates that one person served as Kris Kobach’s running mate on an electoral ticket.
-
E.
runningMateOfAndrewGillum
Indicates a person who was the vice-gubernatorial running mate on the same ticket as Andrew Gillum in an 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_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 1:04 p.m.