Triple
T38179198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Government Area of Nigeria |
E1005105
|
entity |
| Predicate | distributedAcross |
P190265
|
FINISHED |
| Object | 36 states of Nigeria |
—
|
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: 36 states of Nigeria | Statement: [Local Government Area of Nigeria, distributedAcross, 36 states of Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributedAcross Context triple: [Local Government Area of Nigeria, distributedAcross, 36 states of Nigeria]
-
A.
distributedThrough
Indicates that something is supplied, delivered, or made available to others by means of a particular channel, intermediary, or distribution method.
-
B.
distributedFor
Indicates that something is handed out, allocated, or made available for the benefit or use of a particular recipient, purpose, or context.
-
C.
distributedAs
Indicates that something is allocated, delivered, or spread out according to a particular pattern, rule, or distribution scheme.
-
D.
distributedWith
Indicates that one entity is supplied, packaged, or made available together with another entity as part of the same distribution.
-
E.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
- F. None of above. chosen
Provenance (4 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:29 p.m.