Triple
T1308175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matabeleland South |
E27927
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Plumtree |
E54574
|
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: Plumtree | Statement: [Matabeleland South, hasSettlement, Plumtree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plumtree Context triple: [Matabeleland South, hasSettlement, Plumtree]
-
A.
Plumtree
chosen
Plumtree is a small border town in southwestern Zimbabwe that serves as a key road and rail gateway between Zimbabwe and Botswana.
-
B.
Lotus Domino
Lotus Domino is IBM's enterprise-grade server platform that provides email, collaboration, and application hosting services for Lotus Notes and web clients.
-
C.
PeopleSoft
PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
-
D.
Ning
Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
-
E.
BEA Systems
BEA Systems was a software company best known for its enterprise middleware and application server products that played a major role in early Java-based web and enterprise computing.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13806b48190a0db33f8e5d53734 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb308fdcc8190b33da42f16cd65dd |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:51 p.m.