Triple
T2583679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ife Kingdom |
E57148
|
entity |
| Predicate | materialUsedInArt |
P18308
|
FINISHED |
| Object | copper alloy |
—
|
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: copper alloy | Statement: [Ife Kingdom, materialUsedInArt, copper alloy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInArt Context triple: [Ife Kingdom, materialUsedInArt, copper alloy]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
artisticMedium
chosen
Indicates the material or technique used to create an artwork or artistic expression.
-
C.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
D.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3cb33a08190a3eae1a95e1b63bf |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.