Triple
T22188428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Military Government of Nigeria |
E548353
|
entity |
| Predicate | increasedNumberOfStatesTo |
P111781
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Federal Military Government of Nigeria, increasedNumberOfStatesTo, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasedNumberOfStatesTo Context triple: [Federal Military Government of Nigeria, increasedNumberOfStatesTo, 19]
-
A.
requiredNumberOfStates
Indicates the specific number of distinct states that something must have or support in order to meet a given requirement or condition.
-
B.
convertedStatesInto
Indicates that one entity transformed or changed the status or condition of another entity into a different specified state.
-
C.
numberOfStates
Indicates the total count of distinct states or conditions associated with an entity or system.
-
D.
changedNumberOf
chosen
Indicates that the quantity of one entity has been altered by another entity or event.
-
E.
subsequentIncrease
Indicates that one quantity or value increases after a prior event, state, or change has occurred.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aab3d2c81908a3b5a5c127c4aac |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.