Triple
T10086312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian general election, 2011 |
E215229
|
entity |
| Predicate | termOfElectedPresident |
P11167
|
FINISHED |
| Object | 2012–2018 |
—
|
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: 2012–2018 | Statement: [Liberian general election, 2011, termOfElectedPresident, 2012–2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termOfElectedPresident Context triple: [Liberian general election, 2011, termOfElectedPresident, 2012–2018]
-
A.
presidentialTerm
chosen
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
B.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
C.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
-
D.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
E.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04745b48190a77c422eb76b6660 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:01 p.m.