Triple
T11921658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masindi District |
E283670
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Masindi |
E330864
|
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: Masindi | Statement: [Masindi District, capital, Masindi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masindi Context triple: [Masindi District, capital, Masindi]
-
A.
Masindi
chosen
Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls National Park.
-
B.
Manzini
Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
-
C.
Mbeya
Mbeya is a major city in southwestern Tanzania, serving as a commercial and transport hub near the Zambian border.
-
D.
Mzimba
Mzimba is a town in northern Malawi that serves as the administrative center of Mzimba District, known for its agricultural activities and Ngoni cultural heritage.
-
E.
Ndzuwani
Ndzuwani is the local name for Anjouan, one of the main islands of the Union of the Comoros in the Indian Ocean.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44033c288819099587af3f895eac5 |
completed | May 1, 2026, 5:54 a.m. |
Created at: April 8, 2026, 9:45 p.m.