Triple
T28929277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Boni Yayi |
E733735
|
entity |
| Predicate | electionOutcome2006PresidentialElection |
P193303
|
FINISHED |
| Object | won |
—
|
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: won | Statement: [Thomas Boni Yayi, electionOutcome2006PresidentialElection, won]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionOutcome2006PresidentialElection Context triple: [Thomas Boni Yayi, electionOutcome2006PresidentialElection, won]
-
A.
resultIn2002Election
Indicates the outcome or consequence that occurred specifically in relation to the 2002 election.
-
B.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
C.
electoralVoteOutcome
Indicates the result of an election in terms of how electoral votes are allocated or distributed among candidates or options.
-
D.
presidentialWinnerTicket
Indicates that a political ticket (a set of running mates) is the winning ticket in a presidential election.
-
E.
electionOutcome2018PresidentialElection
Indicates the result or status of the 2018 presidential election for the entities involved.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: April 28, 2026, 8:26 a.m.