Triple
T21972590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daykundi |
E542625
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Kiti District |
—
|
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: Kiti District | Statement: [Daykundi, hasDistrict, Kiti District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiti District Context triple: [Daykundi, hasDistrict, Kiti District]
-
A.
Kiti District
chosen
Kiti District is an administrative district located within Daykundi Province in central Afghanistan.
-
B.
Sironko District
Sironko District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
-
C.
Itezhi-Tezhi District
Itezhi-Tezhi District is an administrative region in Zambia known for encompassing the Itezhi-Tezhi Dam and parts of the Kafue National Park.
-
D.
Katakwi District
Katakwi District is an administrative district in eastern Uganda, predominantly inhabited by the Iteso ethnic group and known for its agro-pastoral communities.
-
E.
Didube District
Didube District is an administrative district of Tbilisi, Georgia, known for its transport hubs, markets, and the historic Didube Pantheon cemetery.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124857dcc8190ab474cd8ab9c130a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:02 p.m.