Triple
T20044283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiili Parish |
E497512
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kiili |
—
|
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: Kiili | Statement: [Kiili Parish, hasSettlement, Kiili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiili Context triple: [Kiili Parish, hasSettlement, Kiili]
-
A.
Kiili
chosen
Kiili is a small town in northern Estonia that serves as a local hub for administration and services in the surrounding rural area.
-
B.
Kailo
Kailo is a town in the eastern Democratic Republic of the Congo, located within Maniema Province.
-
C.
Kuiil
Kuiil is a wise and skilled Ugnaught moisture farmer and former Imperial indentured servant who aids the Mandalorian with his technical expertise and calm counsel in the Star Wars series "The Mandalorian."
-
D.
Kayuga
Kayuga is a rural locality within the Muswellbrook Shire in New South Wales, Australia, known for its agricultural landscape and proximity to regional mining areas.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.