Triple
T14852901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Headlands |
E349274
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Makoni District |
E328809
|
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: Makoni District | Statement: [Headlands, partOf, Makoni District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makoni District Context triple: [Headlands, partOf, Makoni District]
-
A.
Makoni District
chosen
Makoni District is an administrative district in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
B.
Namisindwa District
Namisindwa District is a rural administrative district in eastern Uganda, located along the country’s border with Kenya.
-
C.
Marondera District
Marondera District is an administrative district in eastern Zimbabwe centered on the town of Marondera, known for its agricultural activities and role as a regional service hub.
-
D.
Namayingo District
Namayingo District is an administrative district in eastern Uganda, located along the shores of Lake Victoria and known for its fishing and island communities.
-
E.
Mwinilunga District
Mwinilunga District is a rural district in northwestern Zambia known for its lush forests, high rainfall, and location near the headwaters of major rivers including the Zambezi.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded441e70881909bbf62b66d932aff |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f21a97c819082b59b343ef337ec |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:54 a.m.