Triple
T33064706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Gambia |
E846066
|
entity |
| Predicate | includesAreaNear |
P141258
|
FINISHED |
| Object | capital of The Gambia |
—
|
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: capital of The Gambia | Statement: [Western Gambia, includesAreaNear, capital of The Gambia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAreaNear Context triple: [Western Gambia, includesAreaNear, capital of The Gambia]
-
A.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
B.
nearbyAreaServed
Indicates that a location or entity provides services or coverage to an adjacent or nearby area.
-
C.
hasNearbyGeographicalArea
chosen
Indicates that one geographical area is located in close spatial proximity to another geographical area.
-
D.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
-
E.
hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0245e917748190bf0a65db538aa66f |
completed | May 11, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_6a023f7cf7148190af5c2ea501511145 |
completed | May 11, 2026, 8:43 p.m. |
Created at: May 1, 2026, 1:25 a.m.