Triple
T34270683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram in a Thicket figurines |
E879304
|
entity |
| Predicate | treeMaterial |
P178728
|
FINISHED |
| Object | gold-covered wood |
—
|
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: gold-covered wood | Statement: [Ram in a Thicket figurines, treeMaterial, gold-covered wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeMaterial Context triple: [Ram in a Thicket figurines, treeMaterial, gold-covered wood]
-
A.
tree
Indicates that one entity is hierarchically organized as a tree structure whose nodes and edges define parent–child relationships among elements.
-
B.
treeCollection
Indicates a relationship in which multiple trees are grouped or managed together as a single collection.
-
C.
treeUse
Indicates the way in which a tree is utilized or purposed within a given context.
-
D.
matrixMaterial
Indicates that one material serves as the continuous matrix phase in which another component or reinforcement is embedded.
-
E.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:56 a.m.