Triple
T34541318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigerian military regime (1983–1993) |
E886813
|
entity |
| Predicate | devalued |
P8578
|
FINISHED |
| Object | Nigerian naira |
—
|
NE NERFINISHED |
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: Nigerian naira | Statement: [Nigerian military regime (1983–1993), devalued, Nigerian naira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devalued Context triple: [Nigerian military regime (1983–1993), devalued, Nigerian naira]
-
A.
devalues
Indicates that one entity reduces or diminishes the worth, importance, or perceived value of another entity.
-
B.
wasDevaluedIn
chosen
Indicates that the value or worth of an entity was reduced during a specified event, time period, or context.
-
C.
decline
Indicates a decrease or reduction in the level, amount, quality, or intensity of something over time.
-
D.
undermined
Indicates that one entity has weakened, subverted, or reduced the effectiveness, authority, or stability of another entity or its position.
-
E.
demonetized
Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual way.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff3ae60819089447abe3ff9e784 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.