Triple
T28812077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Beninese presidential election |
E727538
|
entity |
| Predicate | incumbentTermLimit |
P117567
|
FINISHED |
| Object | two-term limit |
—
|
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: two-term limit | Statement: [2016 Beninese presidential election, incumbentTermLimit, two-term limit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentTermLimit Context triple: [2016 Beninese presidential election, incumbentTermLimit, two-term limit]
-
A.
incumbentTermLimited
chosen
Indicates that the current officeholder is restricted by term limits from serving another consecutive term in that office.
-
B.
termLimitDefinedBy
Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
-
C.
termLimitAppliesTo
Indicates that a specific term limit restriction is applicable to a particular position, role, or entity.
-
D.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
E.
incumbentPresidentTermLimitReason
Indicates the reason why the current president is subject to a specific term limit or restriction on holding office.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658f05db88190b613173eece383d4 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:31 a.m.