Triple
T8941335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiambu County |
E212906
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Kikuyu |
E53602
|
NE 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: Kikuyu | Statement: [Kiambu County, hasMajorTown, Kikuyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikuyu Context triple: [Kiambu County, hasMajorTown, Kikuyu]
-
A.
Kikuyu
chosen
Kikuyu is a major Bantu language spoken primarily by the Kikuyu people of central Kenya.
-
B.
Coolabah
Coolabah is a small rural town in western New South Wales, Australia, known for its remote outback setting and role as a service stop along regional transport routes.
-
C.
Murrurundi
Murrurundi is a small rural town in New South Wales, Australia, known for its scenic setting in the Upper Hunter region and its historic buildings.
-
D.
Kikuyu highlands
The Kikuyu highlands are a fertile, densely populated upland region in central Kenya, historically inhabited by the Kikuyu people and known for its agriculture and proximity to Nairobi.
-
E.
Murray Mallee
Murray Mallee is a semi-arid, mallee-dominated biogeographic region in southeastern Australia characterized by low-growing eucalypt scrub, sandy soils, and dryland agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b9c14c8190b80c3df0cdba2747 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1efdea881908b2c264d1c39c6ec |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:58 p.m.