Triple
T1791648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Zimbabwe |
E39507
|
entity |
| Predicate | modernScholarlyConsensus |
P4587
|
FINISHED |
| Object | built by African Shona ancestors |
—
|
LITERAL 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: built by African Shona ancestors | Statement: [Great Zimbabwe, modernScholarlyConsensus, built by African Shona ancestors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernScholarlyConsensus Context triple: [Great Zimbabwe, modernScholarlyConsensus, built by African Shona ancestors]
-
A.
scientificConsensus
chosen
Indicates that there is broad agreement among qualified experts or authoritative sources that a particular claim, finding, or theory is valid.
-
B.
scholarlyView
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
C.
modernPractice
Indicates that an entity engages in or reflects a contemporary, up-to-date way of doing something, following current methods, standards, or trends.
-
D.
scientificDisciplineEstablished
Indicates that a particular scientific discipline has been formally founded or recognized as an established field of study.
-
E.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
- F. None of above.
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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.