Triple
T12051782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nwoya District |
E286933
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Oyam District |
E956621
|
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: Oyam District | Statement: [Nwoya District, borders, Oyam District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyam District Context triple: [Nwoya District, borders, Oyam District]
-
A.
Oyam District
chosen
Oyam District is an administrative district in northern Uganda known for its predominantly rural communities and agriculture-based economy.
-
B.
Ouhai District
Ouhai District is an urban district of Wenzhou in Zhejiang Province, China, known for its mix of industrial development, residential areas, and scenic mountainous landscapes.
-
C.
Shinkay District
Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
-
D.
Ivanava District
Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
-
E.
Hama District
Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90423b22081908fba82fbc6b40eb5 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3ee53c81909c2e4620a12a46da |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:47 p.m.