Triple
T6424102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oath of Office (Nigeria, President) |
E128014
|
entity |
| Predicate | timeOfTaking |
P45900
|
FINISHED |
| Object | before assumption of office |
—
|
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: before assumption of office | Statement: [Oath of Office (Nigeria, President), timeOfTaking, before assumption of office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfTaking Context triple: [Oath of Office (Nigeria, President), timeOfTaking, before assumption of office]
-
A.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
B.
timeOfInitiation
chosen
Indicates the specific point in time at which an action, event, or process begins.
-
C.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
D.
servedTimeAt
Indicates the specific time period during which an entity was served or received service at a particular place or context.
-
E.
timeAfterTakeoff
Indicates that a specified time point occurs after the moment of takeoff in a flight or launch sequence.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06906eea88190a445c1ff1169c2b1 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.