Triple
T32896747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian general election, 2017 |
E841493
|
entity |
| Predicate | winnerPoliticalParty |
P6362
|
FINISHED |
| Object | Coalition for Democratic Change |
—
|
NE NERFINISHED |
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: Coalition for Democratic Change | Statement: [Liberian general election, 2017, winnerPoliticalParty, Coalition for Democratic Change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerPoliticalParty Context triple: [Liberian general election, 2017, winnerPoliticalParty, Coalition for Democratic Change]
-
A.
winnerParty
chosen
Indicates the political party that has won a particular election, contest, or decision-making process.
-
B.
winnerPresidentialParty
Indicates that the specified political party is the party of the candidate who won a given presidential election.
-
C.
subjectPoliticalParty
Indicates the political party with which the subject is formally affiliated or identified.
-
D.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
E.
partyOfCandidate
Indicates the political party with which a given candidate is affiliated.
- 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_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 1:18 a.m.