Triple
T10777487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Republic of Nigeria |
E254234
|
entity |
| Predicate | timeInOfficeOfShehuShagari |
P73505
|
FINISHED |
| Object | 1979–1983 |
—
|
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: 1979–1983 | Statement: [Second Republic of Nigeria, timeInOfficeOfShehuShagari, 1979–1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInOfficeOfShehuShagari Context triple: [Second Republic of Nigeria, timeInOfficeOfShehuShagari, 1979–1983]
-
A.
timeInOfficeCharacteristic
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
-
B.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
C.
governingSince
Indicates that one entity has held a governing or ruling role over another entity starting from a specified point in time.
-
D.
periodOfKeyPoliticalRole
chosen
Indicates the time span during which an entity held a particular key political role or office.
-
E.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c18c3c819089d49e3e4585049e |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.