Triple
T23633289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Maada Bio |
E583673
|
entity |
| Predicate | cameToPowerAsHeadOfState |
P8145
|
FINISHED |
| Object | 1996-01 |
—
|
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: 1996-01 | Statement: [Julius Maada Bio, cameToPowerAsHeadOfState, 1996-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameToPowerAsHeadOfState Context triple: [Julius Maada Bio, cameToPowerAsHeadOfState, 1996-01]
-
A.
succeededByAsHeadOfState
Indicates that one individual directly followed another in the role of head of state.
-
B.
cameToPowerIn
chosen
Indicates the time or context in which an entity assumed control, authority, or leadership over a group, organization, or territory.
-
C.
cameToPowerAfter
Indicates that one entity assumed authority or control following the rule or tenure of another entity.
-
D.
installedHeadOfState
Indicates that one entity placed or appointed another entity into the position of head of state, typically through external influence or intervention rather than a standard domestic process.
-
E.
headOfStateAtPromulgation
Indicates the person who was serving as the head of state at the time a particular law, constitution, or legal act was formally promulgated.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1ea269c8190a677e812d7471a98 |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.