Triple
T37635745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salaga |
E936482
|
entity |
| Predicate | waterBodiesNearby |
P47449
|
FINISHED |
| Object | Volta basin area |
—
|
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: Volta basin area | Statement: [Salaga, waterBodiesNearby, Volta basin area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodiesNearby Context triple: [Salaga, waterBodiesNearby, Volta basin area]
-
A.
lakeTypeNearby
Indicates that one entity is located near another entity that is classified as a particular type of lake.
-
B.
nearestLargeBodyOfWater
chosen
Indicates the closest significant body of water in proximity to a given location or entity.
-
C.
addressesWaterBody
Indicates that an action, plan, or measure is directed toward managing, affecting, or dealing with a specific water body.
-
D.
focusesOnWaterBodies
Indicates a relationship where the subject’s attention, activity, or primary concern is directed toward water bodies such as lakes, rivers, or oceans.
-
E.
waterBodyCreatedNearby
Indicates that a water body has been formed or established in close spatial proximity to a specified reference location or entity.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:18 p.m.