Triple
T36733968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya-Uganda Railway (through Kipkelion / Fort Ternan area) |
E907414
|
entity |
| Predicate | currentCountryBorderContext |
P200587
|
FINISHED |
| Object | entirely within modern Kenya |
—
|
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: entirely within modern Kenya | Statement: [Kenya-Uganda Railway (through Kipkelion / Fort Ternan area), currentCountryBorderContext, entirely within modern Kenya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCountryBorderContext Context triple: [Kenya-Uganda Railway (through Kipkelion / Fort Ternan area), currentCountryBorderContext, entirely within modern Kenya]
-
A.
currentCountryBorders
Indicates that one country’s present-day territorial boundaries directly touch or intersect those of another country.
-
B.
bordersNation
Indicates that one nation shares a land or maritime boundary with another nation.
-
C.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
D.
borderCountries
Indicates that one country shares a land or maritime boundary with another country.
-
E.
countryBorder3
Indicates that three countries share a common border or boundary point with one another.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
| PDg | Predicate description generation | batch_69ff976281888190a2e872296fb4a661 |
completed | May 9, 2026, 8:21 p.m. |
Created at: May 3, 2026, 4:12 p.m.