Triple
T26704930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shona traditional religion |
E673262
|
entity |
| Predicate | mhondoroDefinedAs |
P161139
|
FINISHED |
| Object | royal or territorial lion spirits |
—
|
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: royal or territorial lion spirits | Statement: [Shona traditional religion, mhondoroDefinedAs, royal or territorial lion spirits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mhondoroDefinedAs Context triple: [Shona traditional religion, mhondoroDefinedAs, royal or territorial lion spirits]
-
A.
mokoroType
Indicates that one entity is classified as a specific type or category of mokoro (a particular kind of canoe or boat).
-
B.
מושך
Indicates that one entity pulls, attracts, or draws another entity toward itself.
-
C.
mon
Indicates a relationship where one entity is the mother of another entity.
-
D.
monogeneric
Indicates that a taxonomic group (such as a family or subfamily) contains only a single genus.
-
E.
מושפע מ
Indicates that one entity is affected or influenced by another entity or factor.
- F. None of above. chosen
Provenance (4 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617b8e61881909eef2e8eaf1bc969 |
completed | May 2, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:33 a.m.