Triple
T33847142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iteso |
E867511
|
entity |
| Predicate | majorAreasKenya |
P199197
|
FINISHED |
| Object | Busia County |
—
|
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: Busia County | Statement: [Iteso, majorAreasKenya, Busia County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorAreasKenya Context triple: [Iteso, majorAreasKenya, Busia County]
-
A.
rankByLengthInKenya
Indicates ordering or comparing entities based on their length specifically within the context or boundaries of Kenya.
-
B.
regionWithinTanzania
Indicates that one region is geographically located within the national boundaries of Tanzania.
-
C.
regionInUganda
Indicates that a region or area is geographically located within the country of Uganda.
-
D.
majorDistrictsUganda
Indicates that the subject is a major administrative district within the country of Uganda.
-
E.
distanceFromNairobi
Indicates the spatial distance between a given entity’s location and the city of Nairobi.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69ff255abca881908ef7635bd2e5af98 |
completed | May 9, 2026, 12:15 p.m. |
Created at: May 1, 2026, 1:47 a.m.