Triple
T34144428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandi County |
E875808
|
entity |
| Predicate | hasPeopleFrom |
P97477
|
FINISHED |
| Object | Elite Kenyan runners |
—
|
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: Elite Kenyan runners | Statement: [Nandi County, hasPeopleFrom, Elite Kenyan runners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeopleFrom Context triple: [Nandi County, hasPeopleFrom, Elite Kenyan runners]
-
A.
hasPerson
Indicates that an entity is associated with or includes a specific person.
-
B.
includesPeopleOf
Indicates that a group, organization, or entity contains or encompasses certain people as its members or participants.
-
C.
hasPeopleName
Indicates that an entity is associated with a specific person's name.
-
D.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
E.
hasNotablePeople
chosen
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 1, 2026, 1:54 a.m.