Triple
T13658911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Offa |
E326931
|
entity |
| Predicate | borderingStateConnectivity |
P58562
|
FINISHED |
| Object | connected to Osun State |
—
|
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: connected to Osun State | Statement: [Offa, borderingStateConnectivity, connected to Osun State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingStateConnectivity Context triple: [Offa, borderingStateConnectivity, connected to Osun State]
-
A.
connectsCountryBorder
Indicates that one entity forms a direct land or maritime border connection with a specified country.
-
B.
borderStateConnection
chosen
Indicates a relationship where one state directly borders or shares a boundary with another state.
-
C.
borderStateOf
Indicates that one state shares a common boundary or border with another state.
-
D.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
E.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61f0d808190b1cd2a6ba0d930eb |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.