Triple
T16510198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese presidential election, 1980 |
E401039
|
entity |
| Predicate | thirdPlacePopularVote |
P123828
|
FINISHED |
| Object | 86,272 |
—
|
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: 86,272 | Statement: [Portuguese presidential election, 1980, thirdPlacePopularVote, 86,272]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdPlacePopularVote Context triple: [Portuguese presidential election, 1980, thirdPlacePopularVote, 86,272]
-
A.
thirdPlaceVoteShare
Indicates the proportion of total votes received by the candidate or option that finished in third place in an election or contest.
-
B.
thirdPlaceSong
Indicates that a song holds or is assigned the third-place position in a ranking, contest, or ordered list.
-
C.
thirdPlaceRank
Indicates that an entity holds the third position in a ranking or ordered list relative to others.
-
D.
thirdPlacePrize
Indicates that an entity receives or is associated with the prize awarded for finishing in third place in a competition or ranking.
-
E.
thirdPlaceCandidate
Indicates that the subject is the candidate who finished in third place in a competition, ranking, or 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e54f7508190804bbae4c9bc8fe3 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.