Triple
T1275470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Egyptian presidential election |
E27202
|
entity |
| Predicate | oppositionCandidates |
P15495
|
FINISHED |
| Object | largely sidelined |
—
|
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: largely sidelined | Statement: [2018 Egyptian presidential election, oppositionCandidates, largely sidelined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositionCandidates Context triple: [2018 Egyptian presidential election, oppositionCandidates, largely sidelined]
-
A.
opponentCandidate
Indicates that one entity is a rival or competing candidate against another in the same contest or election.
-
B.
allowedOppositionCandidates
chosen
Indicates that certain opposition candidates were permitted to participate, typically in an election or political process.
-
C.
incumbentOpponent
Indicates that one entity is the current officeholder while the other is their electoral challenger for that same position.
-
D.
opposedLeader
Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
-
E.
oppositionLeader
Indicates that one entity serves as the primary political leader of the opposition in relation to another governing entity.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.