Triple
T23460450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manica Province |
E568958
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Chimoio |
E1589371
|
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: Chimoio | Statement: [Manica Province, hasMajorCity, Chimoio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chimoio Context triple: [Manica Province, hasMajorCity, Chimoio]
-
A.
Chimoio
chosen
Chimoio is a major city in central Mozambique that serves as an important commercial and transport hub for the surrounding agricultural region.
-
B.
Chitungwiza
Chitungwiza is a large high-density dormitory town in Zimbabwe situated just south of Harare, known for its rapid urban growth and vibrant informal economy.
-
C.
Harare
Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
-
D.
Masvingo
Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
-
E.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69afba88190b1b1dd27d331309f |
completed | April 29, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf3999548190bde08aaa2673d58a |
completed | May 19, 2026, 10:07 p.m. |
Created at: April 17, 2026, 5:53 p.m.