Triple
T29943579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikizu |
E760566
|
entity |
| Predicate | regionBorderFeature |
P195186
|
FINISHED |
| Object | Lake Victoria |
—
|
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: Lake Victoria | Statement: [Ikizu, regionBorderFeature, Lake Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionBorderFeature Context triple: [Ikizu, regionBorderFeature, Lake Victoria]
-
A.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
-
B.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
C.
countryBorderFeatureOf
Indicates that a geographical feature (such as a river, mountain range, or coastline) serves as or is part of the border of a country.
-
D.
territoryFeature
Indicates that a specific geographic or physical feature is located within, characterizes, or is part of a given territory.
-
E.
borderCharacteristic
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69fdb04d37288190969a0f39d92efb49 |
completed | May 8, 2026, 9:43 a.m. |
Created at: April 29, 2026, 6:23 p.m.