Triple
T7210127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midlands Province |
E149379
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Shurugwi |
E385566
|
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: Shurugwi | Statement: [Midlands Province, majorTown, Shurugwi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shurugwi Context triple: [Midlands Province, majorTown, Shurugwi]
-
A.
Shurugwi
chosen
Shurugwi is a mining town in central Zimbabwe known for its rich gold and chrome deposits.
-
B.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Usakhelauri
Usakhelauri is a rare and highly prized Georgian red wine known for its natural sweetness, aromatic complexity, and limited production in the mountainous Racha region.
-
E.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96c46dc819080a6b40456d7b068 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbf5edbc81908cb40a5253e98b68 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:53 p.m.