Triple
T2534241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olodumare |
E56230
|
entity |
| Predicate | conceptType |
P22381
|
FINISHED |
| Object | high god |
—
|
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: high god | Statement: [Olodumare, conceptType, high god]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conceptType Context triple: [Olodumare, conceptType, high god]
-
A.
conceptualRole
Indicates the functional or semantic role that one concept plays in relation to another within a conceptual structure or system.
-
B.
semanticType
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
-
C.
typeOfNamedThing
Indicates that one entity is the specific type or category to which the named thing belongs.
-
D.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
E.
subjectType
chosen
Indicates the classification or category that defines what kind of entity the subject is.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.