Triple
T1111780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Nigeria |
E11010
|
entity |
| Predicate | eligibleMinimumAge |
P14567
|
FINISHED |
| Object | 35 years |
—
|
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: 35 years | Statement: [President of Nigeria, eligibleMinimumAge, 35 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleMinimumAge Context triple: [President of Nigeria, eligibleMinimumAge, 35 years]
-
A.
typicalEligibilityAge
chosen
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
B.
minimumRegistrationAge
Indicates the lowest age at which an entity is allowed or eligible to register for something.
-
C.
ageLimitAppliesAt
Indicates the specific age or point in time at which an age-related restriction or limit becomes effective for an entity.
-
D.
hasLowerAge
Indicates that one entity is younger in age than another entity.
-
E.
militaryAge
Indicates that an entity is within the age range typically considered eligible for military service.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.