Triple
T6124537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 South Vietnamese presidential election |
E136562
|
entity |
| Predicate | voteShareMainOpponent |
P68283
|
FINISHED |
| Object | about 17.2 percent |
—
|
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: about 17.2 percent | Statement: [1967 South Vietnamese presidential election, voteShareMainOpponent, about 17.2 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voteShareMainOpponent Context triple: [1967 South Vietnamese presidential election, voteShareMainOpponent, about 17.2 percent]
-
A.
electionOpponent
Indicates that two individuals are rivals competing against each other in the same election.
-
B.
mainOppositionBeforeElection
Indicates that one political entity serves as the primary opposing force to another in the period leading up to an election.
-
C.
mainOpposingPolitician
Indicates that one politician is the primary political rival or adversary of another.
-
D.
opponentCandidate
Indicates that one entity is a rival or competing candidate against another in the same contest or 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. 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:14 p.m.