Triple
T32896729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian general election, 2017 |
E841493
|
entity |
| Predicate | wasRunoffRequired |
P139174
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Liberian general election, 2017, wasRunoffRequired, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasRunoffRequired Context triple: [Liberian general election, 2017, wasRunoffRequired, yes]
-
A.
presidentialRunoffRequired
chosen
Indicates that a second-round (runoff) presidential election must be held because no candidate met the required conditions for outright victory in the first round.
-
B.
includeRunoffElections
Indicates whether runoff elections are to be counted or considered as part of the election process or results.
-
C.
runoffElectionDay
Indicates the day on which a runoff election is held to determine a winner when no candidate achieved the required threshold in a prior election.
-
D.
wasOnBallotIn
Indicates that a candidate or option appeared as a choice on the official ballot in a specified election or voting event.
-
E.
hasRunoffAreas
Indicates that an entity includes or is equipped with designated runoff areas for managing excess water or liquid flow.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:18 a.m.