Triple
T16510201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese presidential election, 1980 |
E401039
|
entity |
| Predicate | fourthPlacePopularVote |
P14675
|
FINISHED |
| Object | 64,049 |
—
|
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: 64,049 | Statement: [Portuguese presidential election, 1980, fourthPlacePopularVote, 64,049]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPlacePopularVote Context triple: [Portuguese presidential election, 1980, fourthPlacePopularVote, 64,049]
-
A.
fourthPlace
chosen
Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
-
B.
sixthPlace
Indicates that an entity holds the sixth position or rank in an ordered sequence, competition, or arrangement.
-
C.
popularVoteRunnerUp
Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
-
D.
thirdPlaceVoteShare
Indicates the proportion of total votes received by the candidate or option that finished in third place in an election or contest.
-
E.
fourthRoundOpponent
Indicates that one entity is the opponent faced by another entity in the fourth round of a competition or tournament.
- 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_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. |
Created at: April 10, 2026, 5:14 a.m.