Triple
T37436198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marakwet people |
E930275
|
entity |
| Predicate | hasSubcountyNamedAfter |
P21562
|
FINISHED |
| Object | Marakwet East |
—
|
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: Marakwet East | Statement: [Marakwet people, hasSubcountyNamedAfter, Marakwet East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubcountyNamedAfter Context triple: [Marakwet people, hasSubcountyNamedAfter, Marakwet East]
-
A.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
B.
hasCountyNamedAfterHim
Indicates that a person has at least one county named in their honor.
-
C.
hasCountySeatOfParentCounty
Indicates that a location serves as the county seat (administrative center) for the county that is the parent of another referenced entity.
-
D.
hasPlaceNamedAfter
chosen
Indicates that one place is named in honor of or derived from the name of another place.
-
E.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
Created at: May 3, 2026, 4:17 p.m.