Triple
T1115680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prometheus statue |
E11094
|
entity |
| Predicate | surfaceTreatment |
P22261
|
FINISHED |
| Object | gold leaf gilding |
—
|
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 leaf gilding | Statement: [Prometheus statue, surfaceTreatment, gold leaf gilding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceTreatment Context triple: [Prometheus statue, surfaceTreatment, gold leaf gilding]
-
A.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
B.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
C.
surfaceBrand
Indicates that a surface or physical object bears, displays, or is marked with a particular brand or branding.
-
D.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
E.
surfaceState
chosen
Indicates the physical condition or status of a surface, such as its texture, cleanliness, damage, or treatment at a given time.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.